Infotrellis Reviews by Employees

Role & responsibilities: - Design end-to-end solutions spanning multiple systems and business capabilities across Retail and Consumer sectors. - Work closely with account teams and industry leaders to shape and qualify Data & AI opportunities. - Translate complex Retail/Consumer business problems into scalable Data, AI and ML solutions. - Define solution architectures and engineering roadmaps across cloud, data platforms, AI/ML and GenAI. - Deliver compelling, domain-focused presentations to both technical and non-technical stakeholders. - Support pre-sales, solutioning, PoCs, proposals and enterprise deal closure. - Drive PoC-to-production conversion and develop reusable solution blueprints/frameworks. - Act as a trusted advisor to customers on their Data & AI transformation journey. Preferred candidate profile: - 8 - 12 years of overall experience. - Minimum 6+ years in Business/Solution Architecture or strategic pre-sales/solutioning. - Strong Retail / Consumer Goods / CPG domain experience. - Strong expertise in Data Engineering, AI/ML and Solution Architecture. - Experience designing enterprise-grade architectures across cloud and modern data platforms. - Experience with GenAI, LLMs and AI Agents, particularly their application to business processes. - Exposure to platforms such as Databricks and/or Snowflake. - Cloud experience across Azure, AWS and/or GCP. - Proven experience participating in and successfully closing enterprise Data & AI deals. - Excellent stakeholder management, consulting, presentation and communication skills. - Experience working with Industry Verticals / Business Units / Industry Principals would be an advantage.

Bangalore

Chennai

Mastech Digital - Business Solution Architect - Data & AI 

Role & responsibilities : - Design scalable AI solution architectures aligned to business objectives. - Build AI agents, autonomous workflows, and multi-agent systems. - Develop RAG pipelines using enterprise knowledge sources. - Implement prompt engineering strategies and model orchestration. - Build evaluation frameworks and AI quality assurance pipelines. - Develop backend services and frontend applications supporting AI solutions. - Lead architecture discussions and technical design reviews. - Implement cloud-native deployment, monitoring, and CI/CD practices. - Ensure AI governance, security, privacy, and compliance controls. - Explore emerging Agentic AI technologies and innovation opportunities. Preferred candidate profile : - 5 - 7 years of software engineering experience with strong full-stack expertise. - 3+ years of hands-on experience building AI/ML or Generative AI solutions. - Experience delivering production-grade AI applications. - Preferred experience in Retail Commerce, Omnichannel Retail, Product Discovery, Search, Personalization, or Supply Chain domains. Core Skills : - Large Language Models (LLMs) - Agentic AI Systems & Multi-Agent Architectures - Retrieval-Augmented Generation (RAG) - Prompt Engineering - AI Evaluation & Observability - Semantic Search & Knowledge Retrieval - Python & Modern API Development - Full Stack Application Development - Cloud-Native Architecture - AI Governance & Responsible AI

Artificial Intelligence Engineer 

Job Description: Position: Snowflake Architect Location: Bangalore/ Chennai Experience Required: 12+ years (with minimum 4 to 5 years in Snowflake architecture/design) Employment Type: Full-time Role Overview: We are looking for a seasoned Snowflake Architect to design, implement, and optimize enterprise data warehouse solutions on Snowflake. The ideal candidate will have deep expertise in cloud data platforms, strong architectural skills, and proven experience in leading large-scale data transformation initiatives. Key Responsibilities: - Define and own the end-to-end Snowflake architecture for enterprise data platforms. - Design scalable data models, schemas, and pipelines aligned with business requirements. - Establish best practices for performance tuning, security, and cost optimization in Snowflake. - Lead migration strategies from legacy data warehouses (Teradata, Oracle, Redshift, etc.) to Snowflake. - Collaborate with stakeholders to translate business needs into technical solutions. - Integrate Snowflake with ETL/ELT tools, BI platforms (Tableau, Power BI, Looker), and cloud services. - Provide technical leadership and mentorship to data engineers and developers. - Ensure compliance with data governance, privacy, and regulatory standards. Required Skills & Experience: - Strong expertise in Snowflake Data Warehouse (architecture, security, optimization). - Hands-on experience with SQL, Python, DBT, and ETL/ELT frameworks. - Deep knowledge of cloud platforms (AWS, Azure, GCP) and their data services. - Experience in data modeling, schema design, and metadata management. - Exposure to data governance frameworks and compliance requirements. - Strong communication and stakeholder management skills. Preferred Qualifications: - Snowflake Architect certification(s). - Experience with Databricks, Kafka, or other modern data engineering platforms. - Prior experience in large-scale enterprise data transformations. Role: Data Science & Analytics - Other Industry Type: IT Services & Consulting

Snowflake Architect 

Senior AI Engineer / Full Stack AI Engineer Experience : 8+ Years (3+ Years in Generative AI/LLMs) Location : Bengaluru / Chennai (Hybrid) Employment Type : Full-Time About the Role : We are looking for a highly skilled Senior AI Engineer / Full Stack AI Engineer to design, develop, and deploy enterprise-grade AI applications powered by Large Language Models (LLMs), Agentic AI, and modern cloud-native technologies. The ideal candidate will have hands-on experience building AI Agents, Multi-Agent Systems, Retrieval-Augmented Generation (RAG) applications, and intelligent automation platforms, while also possessing strong full-stack development expertise to build scalable, production-ready AI solutions. You will collaborate with Product Managers, Architects, Data Engineers, UX Designers, and business stakeholders to deliver innovative AI products that solve complex enterprise challenges across Retail, Commerce, Supply Chain, Customer Experience, and Digital Transformation. Key Responsibilities : 1. AI Engineering : - Design, develop, and deploy enterprise-grade AI applications using Large Language Models (LLMs) and Agentic AI frameworks. - Build autonomous AI agents, multi-agent systems, and intelligent workflow orchestration solutions. - Develop scalable Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge sources. - Implement prompt engineering, model orchestration, memory management, and AI evaluation frameworks to improve response quality and accuracy. - Optimize AI models and workflows for performance, scalability, latency, and cost efficiency. 2. Full Stack Development : - Develop secure backend services and REST APIs using Python, FastAPI, or Flask. - Build responsive web applications and conversational AI interfaces using React, Next.js, JavaScript, or TypeScript. - Integrate AI services with enterprise platforms including ERP, CRM, search platforms, and business applications. - Design scalable microservices and event-driven architectures supporting AI workloads. 3. Cloud & Platform Engineering : - Deploy AI applications on AWS, Azure, or Google Cloud Platform using cloud-native services. - Containerize applications using Docker and Kubernetes. - Build CI/CD pipelines and automate deployment processes using GitHub Actions or Azure DevOps. - Implement monitoring, logging, tracing, and observability for production AI systems. 4. AI Governance & Security : - Ensure AI applications adhere to responsible AI principles, security standards, and data privacy regulations. - Implement guardrails, policy enforcement, model governance, and AI safety mechanisms. - Develop monitoring frameworks to evaluate model performance, reliability, and compliance. 5. Technical Leadership : - Participate in architecture discussions, technical design reviews, and solution planning. - Define engineering standards, reusable components, and development best practices. - Mentor junior engineers and contribute to the growth of the AI engineering practice. - Stay updated with emerging advancements in Generative AI, Agentic AI, and enterprise AI technologies. Required Skills & Experience : The ideal candidate should possess strong expertise in designing, developing, and deploying enterprise-grade AI solutions powered by Large Language Models (LLMs), Agentic AI frameworks, and modern cloud-native technologies. 1. Artificial Intelligence & Generative AI : - Hands-on experience working with Large Language Models (LLMs) such as OpenAI, Anthropic Claude, Gemini, Llama, and Mistral. - Strong expertise in designing and implementing Agentic AI solutions, AI Agents, Multi-Agent Systems, and Retrieval-Augmented Generation (RAG) applications. - Experience with Prompt Engineering, Semantic Search, AI Evaluation Frameworks, Model Benchmarking, AI Observability, and Fine-Tuning concepts to improve model performance and reliability. 2. AI Frameworks & Orchestration : - Proven experience using enterprise AI frameworks including LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, DSPy, and Semantic Kernel for building scalable AI applications and autonomous workflows. 3. Backend Development : - Strong programming skills in Python with experience developing scalable backend services using FastAPI or Flask. - Experience building RESTful APIs, GraphQL services, Microservices Architecture, and Event-Driven Systems supporting enterprise AI applications. 4. Frontend Development : - Experience developing modern, responsive web applications using React, Next.js, JavaScript, and TypeScript. - Ability to build intuitive conversational user interfaces and AI-powered digital experiences. 5. Databases & Search Technologies : - Experience working with relational and NoSQL databases including PostgreSQL, MySQL, MongoDB, and Redis. - Hands-on experience implementing semantic search solutions using Elasticsearch/OpenSearch and vector databases such as Pinecone, Weaviate, Qdrant, Chroma, or Milvus. 6. Cloud & DevOps : - Experience designing and deploying cloud-native applications on AWS, Microsoft Azure, or Google Cloud Platform (GCP). - Strong understanding of containerization, orchestration, CI/CD pipelines, Infrastructure as Code, monitoring, and observability using technologies such as Docker, Kubernetes, GitHub Actions, Azure DevOps, and related cloud-native tools. Preferred Domain Experience : Candidates with experience delivering AI-powered enterprise solutions in the following domains will be preferred : - Retail & Digital Commerce - Omnichannel Commerce - Merchandising & Product Management - Product Discovery & Intelligent Search - Customer Experience & Personalization - Supply Chain & Inventory Optimization - Retail Analytics - Intelligent Process Automation Educational Qualifications : - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline. - Minimum 8+ years of software engineering experience with at least 3+ years of hands-on experience in Generative AI, AI/ML, or enterprise AI solution development. - Experience designing, developing, and deploying production-grade AI applications in enterprise environments. - Professional certifications in AWS, Microsoft Azure, Google Cloud Platform, AI Engineering, or Cloud Architecture will be an added advantage. - Exposure to Knowledge Graphs, Semantic Models, AI Cost Optimization (FinOps), Recommendation Systems, or Personalization Platforms is highly desirable. Key Competencies : - Enterprise AI Solution Architecture - Generative AI & Agentic AI Development - Large Language Models (LLMs) - AI Agents & Multi-Agent Systems - Retrieval-Augmented Generation (RAG) - Full Stack Application Development - Cloud-Native AI Engineering - MLOps, AI Observability & Model Monitoring - AI Governance, Security & Responsible AI - Technical Leadership & Solution Design - Stakeholder Management & Cross-Functional Collaboration - Analytical Thinking, Problem Solving & Innovation.

Senior Full Stack AI Engineer 

AI Engineer - Agentic AI & Generative AI Location : Chennai / Bengaluru Experience : 2- 7 Years Employment Type : Full-Time Department : Data Science & Artificial Intelligence About the Role : We are seeking an innovative AI Engineer with expertise in Generative AI (GenAI) and Agentic AI to design, develop, and deploy next-generation AI-powered applications and autonomous intelligent systems. The ideal candidate will have hands-on experience building enterprise-grade AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, LangChain, and Multi-Agent Architectures. In this role, you will collaborate with cross-functional teams to develop scalable AI platforms, intelligent automation workflows, and production-ready AI applications that solve complex business problems across multiple domains. Key Responsibilities : 1. AI Solution Architecture : - Design scalable, secure, and cloud-native AI solution architectures aligned with business goals and enterprise technology standards. - Evaluate business requirements and recommend appropriate AI models, frameworks, and deployment strategies. - Define reusable AI architecture patterns and best practices for enterprise implementations. - Collaborate with solution architects, product teams, and business stakeholders during solution design. 2. Agentic AI Development : - Design and develop autonomous AI agents capable of reasoning, planning, decision-making, and executing complex multi-step tasks. - Build multi-agent systems where specialized AI agents collaborate to accomplish business workflows. - Develop intelligent orchestration frameworks for agent communication, task routing, memory management, and tool integration. - Implement autonomous workflow automation using Agentic AI principles. 3. Generative AI & Large Language Models : - Develop AI-powered applications using Large Language Models (LLMs). - Integrate OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, Llama, Mistral, or similar foundation models. - Design prompt engineering strategies for high-quality, context-aware AI responses. - Fine-tune, evaluate, and optimize foundation models for domain-specific use cases. - Develop conversational AI assistants, enterprise copilots, document intelligence, and knowledge assistants. 4. Retrieval-Augmented Generation (RAG) : - Design and implement enterprise RAG pipelines. - Build ingestion frameworks for structured and unstructured enterprise documents. - Develop semantic search solutions using vector databases. - Implement document chunking, embedding generation, indexing, retrieval optimization, and response synthesis. - Optimize retrieval quality and minimize hallucinations through advanced RAG techniques. 5. AI Application Development : - Develop backend APIs and AI microservices supporting enterprise AI applications. - Build interactive web-based AI applications and user interfaces. - Integrate AI models with enterprise applications, APIs, databases, and third-party systems. - Develop scalable AI services capable of handling high transaction volumes. 6. MLOps & AI Operations : - Build CI/CD pipelines for AI model deployment. - Automate model training, testing, deployment, and monitoring. - Implement model versioning, experiment tracking, and reproducibility. - Monitor model performance, latency, drift, and reliability in production. - Support continuous model improvement through feedback loops. 7. Cloud & Platform Engineering : - Deploy AI workloads on Microsoft Azure, AWS, or Google Cloud Platform. - Develop containerized AI applications using Docker and Kubernetes. - Build scalable AI infrastructure supporting enterprise production environments. - Optimize infrastructure for performance, security, and cost. 8. AI Governance, Security & Responsible AI : - Implement responsible AI practices including explainability, fairness, transparency, and bias detection. - Ensure compliance with enterprise AI governance, security, privacy, and regulatory requirements. - Protect sensitive enterprise data through secure AI architecture and access controls. - Develop monitoring frameworks for AI safety and compliance. 9. Technical Leadership : - Participate in solution architecture reviews and technical design discussions. - Establish coding standards and AI engineering best practices. - Conduct code reviews and mentor junior engineers. - Evaluate emerging AI technologies and recommend adoption strategies. - Drive innovation initiatives related to Agentic AI and enterprise Generative AI. Required Skills & Experience : The ideal candidate should have hands-on experience in designing and deploying enterprise AI solutions using modern Generative AI and Agentic AI technologies. 1. Artificial Intelligence & Machine Learning : - Strong understanding of Generative AI, Large Language Models (LLMs), NLP, Machine Learning, Deep Learning, and AI application development. - Experience building enterprise-grade AI assistants, copilots, and intelligent automation solutions. 2. Agentic AI : - Hands-on experience developing AI Agents, autonomous workflows, multi-agent systems, and intelligent orchestration frameworks. - Knowledge of agent planning, memory management, reasoning, and tool execution. 3. Generative AI Frameworks : - Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, DSPy, or similar AI orchestration frameworks. - Strong prompt engineering and LLM optimization skills. - Experience integrating OpenAI, Azure OpenAI, Claude, Gemini, Llama, or other foundation models. 4. RAG & Vector Search : - Experience building Retrieval-Augmented Generation (RAG) applications. - Hands-on knowledge of embedding models, semantic search, vector databases, and document retrieval pipelines. - Experience with Pinecone, Weaviate, Milvus, ChromaDB, FAISS, or Azure AI Search. 5. Programming : - Strong proficiency in Python. - Experience developing REST APIs using FastAPI or Flask. - Knowledge of JavaScript or TypeScript is an added advantage. 6. Cloud Technologies : - Experience deploying AI applications on Microsoft Azure, AWS, or Google Cloud Platform. - Familiarity with Azure OpenAI, AWS Bedrock, Vertex AI, or equivalent AI services. 7. MLOps & DevOps : - Experience with Git, Docker, Kubernetes, CI/CD pipelines, MLflow, LangSmith, and model monitoring tools. - Knowledge of model deployment, observability, and production AI operations. 8. Databases : - SQL and NoSQL databases. - Vector databases. - Enterprise data integration. Preferred Qualifications : - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline. - Relevant certifications in Azure AI Engineer, AWS Machine Learning, Google Professional Machine Learning Engineer, or Generative AI technologies will be an added advantage.

AI Engineer 

Senior Data Scientist We are looking for a Senior Data Scientist with deep expertise in machine learning, intelligent document processing, and cloud-native AI pipelines. You will lead the design and delivery of production-grade AI/ML components within a governed, human-in-the-loop automation platform, working across the full spectrum from raw data ingestion to model deployment and continuous improvement. Key Responsibilities : - Architect and implement multi-tier document extraction pipelines combining deterministic parsing, OCR, and large language model (LLM) inference, applying the right technique for each document category. - Design and train document classification models (e.g., using Amazon SageMaker) for routing documents to appropriate extraction strategies. - Develop and optimize prompt engineering patterns for LLM-based extraction (Amazon Bedrock), including confidence scoring, source-region anchoring, and hallucination detection strategies. - Build and maintain data validation frameworks: schema validation, cross-field consistency checks, and configurable confidence thresholds per field and document type. - Design canonical data models and normalization pipelines that consolidate heterogeneous source data into a unified schema with full field-level lineage. - Lead the design of agentic AI components (extraction orchestration, layout detection, exception analysis) with clearly defined capability envelopes, escalation logic, and human approval gates. - Define and track extraction accuracy metrics; drive continuous improvement loops using structured human feedback. - Collaborate with solution architects to ensure ML components integrate cleanly with serverless AWS infrastructure (Lambda, Step Functions, S3, Glue, DynamoDB, EventBridge). - Mentor junior team members and establish best practices for model governance, change management, and reproducibility. Machine Learning & AI : - Document classification using supervised ML (SageMaker or equivalent) - LLM prompt engineering for structured data extraction (Bedrock, OpenAI, or similar) - OCR post-processing : table reconstruction, merged cell handling, multi-line value normalization (Amazon Textract or equivalent) - Confidence scoring design and threshold calibration - Cosine similarity and document fingerprinting for template matching - Agentic AI orchestration patterns with governed fallback and escalation design Data Engineering & Python : - Python : pandas, openpyxl, boto3 production-grade, not notebook-only - ETL pipeline design for structured (Excel/CSV), semi-structured (PDF tables), and unstructured document types - Schema design and canonical data modeling - Data quality frameworks : completeness detection, duplicate identification, cross-field validation - SQL and relational data modeling (PostgreSQL preferred) Cloud - AWS : - AWS Lambda, Step Functions, S3, SageMaker, Bedrock, Textract, Glue, DynamoDB, EventBridge, SQS, KMS - Serverless-first architecture patterns; cost-efficient compute design for seasonal/batch workloads Governance & MLOps : - Model registry, versioning, and change board processes - Audit trail design: immutable lineage from source document to output - CI/CD integration for ML pipeline components - RBAC and data security in multi-tenant cloud environments Experience : - 8+ years in data science or ML engineering roles - At least 2 production deployments involving intelligent document processing or NLP pipelines - Demonstrated experience designing human-in-the-loop systems, not just fully automated models Preferred Candidate Profile : - Power BI or Amazon QuickSight for operational dashboards - React or familiarity with audit workbench UI requirements for human-in-the-loop review queues

Senior Data Scientist - Machine Learning 

Role & responsibilities: We are looking for a UI/UX Engineer with strong expertise in both UX design and frontend development to build intuitive, scalable, and high-performance interfaces for AI-powered enterprise applications. The ideal candidate should be experienced in designing complex workflows, dashboards, and data-driven applications while developing modern web interfaces using React and TypeScript. Key Responsibilities: - Design user journeys, wireframes, prototypes, and enterprise workflows. - Build responsive web applications using React, Next.js, TypeScript, and modern UI frameworks. - Develop dashboards, data visualizations, and AI-assisted user experiences. - Create Human-in-the-Loop (HITL) workflows for AI validation and decision support. - Integrate frontend applications with APIs and AI services. - Collaborate with Product, AI, Backend, and Design teams. Required Skills: - 5-8 years of UI development and UX design experience. - Strong hands-on experience with React, Next.js, TypeScript, JavaScript, HTML5, and CSS3. - Experience building enterprise, workflow-driven, data-intensive applications. - Good understanding of UX principles, usability, and information architecture. - Experience with Figma, Redux/Zustand, REST APIs, and data visualization libraries (Chart.js, Recharts, D3.js). Preferred: - Experience with AI-powered applications, OCR/IDP platforms, analytics dashboards, or conversational interfaces.

UI/UX Engineer - AI Platforms & Enterprise Applications 

We're Hiring: SAP BTP Platform Administrator. Location: Bangalore (Hybrid). Experience Level: Mid-Senior Level (Minimum 5 years in BTP Administration). Immediate Joiners: Immediate joiners preferred. Are you an SAP BTP expert with deep experience across platform administration, identity and security, connectivity, and operations. We're looking for a skilled professional to join our team and own the SAP Business Technology Platform landscape end-to-end. SAP BTP Platform Administration: - Manage BTP Global Account / Directory / Subaccount structure and architecture. - Handle entitlements, quotas, subscriptions and service instances. - Administer Cloud Foundry and Kyma environments. - Work hands-on with BTP Cockpit and CLI. - Own tenant/environment lifecycle management. - Apply transport and deployment concepts across landscapes. Identity, Security and Access Management: - Administer SAP Cloud Identity Services (IAS/IPS). - Manage Role Collections, users, groups, and authorization. - Configure SSO, SAML/OAuth. - Integrate with enterprise Identity Providers (Azure AD/Entra ID). - Manage security, certificates, secrets, and keys. Integration and Connectivity: - Configure secure connectivity between SAP BTP and external systems. - Hands-on with SAP Cloud Connector, BTP Connectivity service, destinations, certificates, and principal propagation. Operations and Monitoring: - Own BTP monitoring, logging, and alerting. - Monitor application/service health. - Drive license and entitlement optimization. - Track capacity and consumption. What we're looking for: - A Mid-Senior level candidate with a minimum of 5 years of hands-on SAP BTP administration experience, comfortable owning platform reliability, security, and cost-efficiency across a live enterprise landscape. - Immediate joiners will be given preference. Work Details: - Work Location: Bangalore. - Work Model: Hybrid. - Notice Period: Immediate joiners preferred.

GyanSys - Platform Administrator - SAP BTP 

Position Summary : We are seeking a Engineering Manager to lead our Build & Installer Tooling Engineering team within R&D. This role is responsible for driving the development, maintenance, and continuous improvement of build, release, deployment, and installer platforms that enable efficient software delivery across product lines through standardized tools across Operating Systems. The ideal candidate combines strong DevOps expertise with proven people leadership and project management skills to lead high-performing teams, improve engineering productivity, and ensure reliable software delivery. In This Role, Your Responsibilities Will Be : - Lead and develop a team of 8 - 10 engineers focused on tooling for build and installers, release engineering, DevOps, and deployment automation. - Strong project execution, resource planning, prioritization, and risk mitigation to ensure successful delivery of organizational objectives. - Define project plans, schedules, milestones, and key performance indicators while ensuring alignment with business priorities. - Partner with software development, quality engineering, product management, IT, and other stakeholders to streamline the end-to-end software delivery lifecycle. - Own and drive strategic initiatives for CI/CD pipelines, build infrastructure, release management, and software delivery processes. - Drive continuous improvement in build performance, deployment reliability, release quality, and engineering productivity. - Establish and maintain scalable DevOps practices, automation frameworks, source control strategies, and infrastructure standards. - Mentor, coach, and develop team members through regular performance discussions, career development planning, and technical guidance. - Foster a culture of collaboration, accountability, innovation, and continuous learning. Who You Are : The successful candidate will possess strong leadership capabilities, technical acumen, and a proactive mindset. They will lead teams through complex and ambiguous challenges, provide direction, and ensure alignment with organizational priorities. The individual will create an inclusive environment that empowers team members to grow and perform at their highest potential while driving execution excellence. They will champion continuous improvement, influence stakeholders across functions, and lead initiatives that strengthen organizational effectiveness and deliver measurable business impact. For This Role, You Will Need : - Bachelor's or Master's degree in Computer Science, Information Technology, Electronics, or a related technical field. - 12+ years of experience in software engineering, DevOps, release engineering, build engineering, or software delivery organizations. - 5+ years of experience leading and developing engineering teams. - Strong hands-on experience with CI/CD tools and practices such as Azure DevOps, Jenkins, GitHub Actions, GitLab CI/CD, or similar platforms. - Experience managing software build systems, release pipelines, deployment automation, tooling, and installer technologies. - Proven expertise in DevOps methodologies, Infrastructure as Code (IaC), configuration management, and automation practices. - Strong understanding of source code management systems such as Git and branching/release strategies. - Experience working with cloud platforms such as Azure, AWS, or Google Cloud. - Demonstrated project management experience, including planning, execution, stakeholder communication, risk management, and delivery tracking. - Experience in Agile development methodologies and cross-functional program execution. - Strong communication and stakeholder management skills across technical and business audiences. - Proven experience in people management, including hiring, coaching, performance management, goal setting, and career development. - Strong analytical and problem-solving skills with a focus on operational excellence and continuous improvement. Preferred Qualifications That Set You Apart : - Passion for building high-performing teams and driving engineering excellence through automation and process optimization. - Experience leading enterprise-scale build and release engineering organizations. - Knowledge of Python, containerization and orchestration technologies such as Docker and Kubernetes. - Experience in implementing DevSecOps practices and integrating security into CI/CD pipelines. - Familiarity with software compliance, release governance, and software supply chain security practices. - Experience managing globally distributed engineering teams. Our Culture & Commitment to You : At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave. Education : - UG : B. Tech / B. E. in Any Specialization

Emerson - Engineering Manager - CI/CD Tools 

Role Overview : Looking for a Lead/Senior AI/ML Engineer with strong hands-on experience in production ML/Deep Learning systems, model optimization, deployment, and MLOps. The role will involve designing scalable AI solutions and providing technical leadership across AI/ML initiatives. Key Responsibilities : - Design, develop, and deploy production-grade ML, Deep Learning, and Reinforcement Learning solutions. - Work with PyTorch, TensorFlow, or JAX for model development and optimization. - Develop solutions using CNNs, Transformers, sequence models, and RL algorithms such as PPO, SAC, TD3, and CQL. - Optimize inference using TensorRT, ONNX, and Triton, balancing accuracy and latency. - Deploy and scale models using Docker, Kubernetes, AKS/ARO, and Azure ML. - Implement MLOps, CI/CD, model serving, monitoring, and lifecycle management. - Define AI/ML engineering standards and evaluation frameworks. - Mentor engineers and provide technical leadership. - Collaborate with stakeholders to deliver production AI solutions with measurable business impact. Required Skills : - 7+ years of ML/AI experience with production ML/DL systems. - Strong Python and hands-on expertise with PyTorch/TensorFlow/JAX. - Strong understanding of Deep Learning, Transformers, CNNs, sequence models, and/or RL. - Experience with model serving, inference optimization, Docker, Kubernetes, Azure ML, and MLOps. - Strong understanding of applied mathematics, probability, linear algebra, and optimization. - Proven technical leadership and mentoring experience.

GyanSys - Lead/Senior AI/ML Engineer - Deep Learning 

What success looks like in this role : We are seeking a highly experienced Presales Solutions Architect - Application Managed Services (AMS) to lead solution design, customer engagements, technical proposals, and commercial modeling for enterprise application support, modernization, and managed services opportunities. This role will serve as a trusted advisor to customers, helping them optimize, modernize, manage, and transform their application landscape while aligning technology investments to business outcomes. Key Responsibilities : Solution Architecture & Design : - Lead discovery workshops, application assessments, and requirements gathering sessions with business and IT stakeholders. - Analyze current-state application portfolios, support models, operational challenges, technical debt, and transformation opportunities. - Develop target-state architectures, service delivery models, governance frameworks, transition plans, and operational playbooks. - Present technical and business solutions to executive leadership, business stakeholders, and technical teams. - Translate technical capabilities into measurable business outcomes such as cost reduction, improved SLA performance, accelerated release cycles, enhanced user experience, and reduced operational risk. Cost Modeling & Financial Analysis : - Develop comprehensive pricing models, effort estimations, TCO assessments, and ROI analyses for AMS engagements. - Build bottom-up estimates for support, enhancement, modernization, cloud transformation, and continuous improvement initiatives. - Conduct profitability, margin, and resource utilization analysis. - Create financial scenarios that demonstrate business value and savings opportunities. - Collaborate with finance and delivery teams to validate cost assumptions and ensure commercially viable solutions. Technical Proposal Development : - Lead technical responses for RFPs, RFIs, RFQs, and strategic pursuits. - Develop executive summaries, solution narratives, service architectures, operating models, transition frameworks, and implementation roadmaps. - Create application support and delivery governance models, SLA frameworks, KPI scorecards, and reporting structures. - Partner with delivery, engineering, security, cloud, and consulting teams to ensure solution feasibility and alignment. - Utilize Gen AI tools (Microsoft Copilot, ChatGPT, Claude, GitHub Copilot) to accelerate proposal development, requirement synthesis, content creation, and solution documentation. - Develop persuasive value propositions that differentiate offerings and improve win probability. Application Modernization & Transformation Consulting : - Assess application portfolios and identify opportunities for modernization, rationalization, re-platforming, re-engineering, and cloud migration. - Recommend transformation strategies using modern architectures, microservices, APIs, cloud-native technologies, DevSecOps, and automation frameworks. - Develop application lifecycle management strategies aligned with customer business goals. - Define modernization roadmaps balancing business priorities, risk, cost, and time-to-value. Delivery Partnership & Transition Planning : - Collaborate with delivery organizations to ensure proposed solutions are executable and scalable. - Develop transition and knowledge transfer plans for new AMS engagements. - Support customer solution reviews, governance meetings, and deal transition workshops. - Participate in solution kickoffs to ensure alignment between sales commitments and delivery execution. - Continuously refine solution frameworks based on delivery feedback and customer outcomes. Practice Development & Thought Leadership : - Contribute to AMS solution accelerators, reusable assets, proposal templates, and service offerings. - Support market intelligence, competitive analysis, and industry-specific solution development. - Mentor junior solution architects and presales consultants. - Stay current with emerging trends in AI-powered operations, Application Modernization, Cloud-Native Engineering, DevSecOps, and Digital Transformation. Business & Soft Skills : - Strong executive presence with ability to engage CXO stakeholders. - Excellent presentation, storytelling, and workshop facilitation skills. - Strong consultative selling and customer advisory capabilities. - Ability to manage multiple strategic pursuits simultaneously. - Exceptional collaboration across sales, delivery, consulting, finance, and leadership teams. - Strong commercial acumen with understanding of pricing, margins, profitability, and risk management. - Excellent analytical and problem-solving skills. - Ability to translate complex technical concepts into business value narratives. Certifications & Nice-to-Haves : - Azure Solutions Architect Expert / AWS Solutions Architect Professional. - AI/ML certifications (Azure AI Engineer, AWS ML Specialty, etc.). - Experience in AI governance, Responsible AI frameworks. - ITIL / Service management frameworks. - Exposure to GTM strategy, pricing models, or business development. - Prior experience in system integrators, consulting firms, or global delivery models. Required Qualifications : - BA/BS degree and 8+ years' relevant experience OR equivalent combination of education and experience. Master's degree preferred. - 10 - 15 years of overall IT experience. - Minimum 5+ years in Presales, Solution Architecture, Consulting, or Managed Services. - Experience designing and positioning large-scale AMS engagements. - Proven success supporting enterprise pursuits, strategic deals, and RFP responses. - Strong track record of influencing deal wins through solution consulting and architecture leadership. - Experience managing multi-tower engagements across application development, support, modernization, cloud, and operations.

Unisys - Presales Solution Architect - Application Managed Services 

Position : ITAM Architect (ServiceNow) Job Type : Fulltime Location : Hyderabad (4-days Hybrid) Shift timings : Comfortable to work from 3pm to 1am IST Experience : 10+ Years Job Summary : We are seeking an experienced ServiceNow ITAM Architect with strong expertise in IT Asset Management, Software Asset Management (SAM Pro), Hardware Asset Management (HAM Pro), CMDB, and ITSM integrations. The candidate will lead enterprise asset management transformation initiatives and drive governance, compliance, and optimization strategies. Key Responsibilities : - Design and implement end-to-end ServiceNow ITAM solutions. - Lead HAM Pro and SAM Pro implementations and enhancements. - Define software license compliance, optimization, and governance processes. - Architect integrations with procurement, ERP, SCCM, Intune, JAMF, and discovery tools. - Establish asset lifecycle management and reconciliation processes. - Drive IT asset governance, compliance, and audit readiness initiatives. - Collaborate with business, procurement, and IT teams to optimize asset utilization. Required Skills : - 10+ years of IT experience with strong ServiceNow ITAM expertise. - Hands-on experience with : 1. Software Asset Management (SAM Pro) 2. Hardware Asset Management (HAM Pro) 3. CMDB 4. ITSM 5. Asset Lifecycle Management 6. License Compliance & Optimization - Experience integrating ServiceNow with Microsoft SCCM, Intune, JAMF, Flexera, Snow, or procurement systems. - Strong understanding of ITIL processes and governance frameworks. - Expertise in JavaScript, APIs, and ServiceNow platform configuration. Preferred Certifications : - ServiceNow CIS - Software Asset Management (SAM) - ServiceNow CIS - Hardware Asset Management (HAM) - ServiceNow Certified System Administrator - ITIL Foundation/Expert Application Details : If you are interested, please share your resume with below details to proceed further : - Total Experience : - Relevant Experience : - CTC : - ECTC : - Notice Period :

Hyderabad

CitiusTech - ITAM Architect 

Job Title : Director of Digital Design Engineering, Memory Interface IP We Are : Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. You Are : You have spent years deep in the world of high-speed memory interfaces. You know HBM, DDR, and LPDDR as living systems. You have built teams that ship, and you know the difference between a group that executes and one that just stays busy. You do not manage from a distance; you review RTL, ask hard questions, and push back when a verification plan is too thin. What You'll Be Doing : - Lead a team of ASIC digital design and verification engineers working on HBM, DDR, and LPDDR memory interface IP - Own the technical direction and execution of RTL design and verification at both block and chip integration levels - Drive design reviews, architecture decisions, and quality checkpoints across the full development cycle from spec to silicon - Collaborate with cross-functional teams including analog design, DFT, physical design, and product management - Build and refine design and verification methodologies, incorporating AI-driven tools and automation - Manage project timelines, resource allocation, and risk mitigation - Mentor and develop engineers, providing technical guidance and career growth opportunities The Impact You Will Have : - Deliver memory interface IP that enables the next generation of AI accelerators, data center processors, and high-performance SoCs - Raise the bar for design quality and verification coverage - Shape the technical roadmap for high-speed memory controllers - Build a high-performing team culture - Accelerate time to market by driving adoption of advanced methodologies and AI-assisted design flows What You'll Need : - 15 - 20+ years of experience in ASIC digital design and verification, with significant hands-on work in memory interface IP such as HBM, DDR, or LPDDR - Proven track record leading engineering teams through full product development cycles - Deep expertise in RTL design, verification methodologies, and design closure - Strong understanding of memory protocols, PHY/controller architecture, signal integrity, and timing closure - Experience managing cross-functional collaboration - Demonstrated ability to communicate technical risks and project status to executive leadership Rewards and Benefits : - We offer a comprehensive range of health, wellness, and financial benefits. Your recruiter will provide more details during the hiring process.

Synopsys - Director - ASIC/RTL Design 

Join our award-winning team at Dainik Bhaskar newsroom as a Graphic Designer. Collaborate with reporters, editors, designers, and developers to create engaging and innovative storytelling experiences. Must Have : A strong portfolio with links to past graphic design work preferably in the digital content space and interactive web projects. Hindi proficiency is a must have. What you need to do : - Expertise in aligning team efforts with the organization's strategic goals, driving projects and content that meet high-quality standards and contribute to the company's vision. - Create creative, compelling and visually engaging graphics that effectively convey the essence of an editorial story to our audience. - Deliver visuals, charts, information graphics and branding to support daily output. - Collaborate with multiple stakeholders and consider all feedback critically. - Effectively communicating your ideas and the rationale behind design decisions to people within the organization. - Understand the impact of their work and keep them in mind along with business goals to make creative decisions. Who you need to be : - Graphic Designer with at least 5+ years of experience, preferably in a content space creating visually compelling and high quality graphics. - Strong understanding of data to visualize compelling infographics. - Experience in a newsroom is a big plus. - Have a really good eye for typography, color and layout. - Must be in love with Photoshop, Indesign, Illustrator and other great design tools. - Must be curious / open to exploring new Generative AI tools for Graphics Production and Creativity. - Possess a basic understanding of HTML to effectively collaborate with developers. - Have past experience designing for web interactive projects. - Be Autonomous and take full ownership of your work. - Obsessive about accurate, timely delivery and being the first to break the latest news. - Serious about current affairs and information design. - Good understanding of the digital space and different genres: Sports, Politics, Movies, News etc.

Bhopal

Dainik Bhaskar - Senior Graphic Designer - Photoshop/Illustrator 

Role : SAP VIM Consultant for Bangalore location who can join in 30days of notice period. Experience : 10-13 years Location : Bangalore Mode : hybrid Mandatory Skills : SAP VIM, Intelligent Capture for SAP Solutions (IC4S). Vendor Invoice Management, Opentext Vim, Sap Vendor Invoice Management, PTP Responsibilities : Job Description : - Analyzing business requirements related to invoice processing and vendor management. - Configuring and customizing the VIM solution to meet specific needs. - Providing support to end-users and resolving any issues related to VIM functionalities. - Facilitating training sessions and workshops for staff on VIM processes and usage. - Collaborating with IT and other stakeholders to ensure seamless integration of VIM with SAP modules and third-party applications. Required Qualifications & Experience : Experience : 10 to 15 years of dedicated experience in SAP environments, with at least 10+ years of core specialization in OpenText VIM and OCR solutions. VIM/IC4S Expertise : Proven track record of at least 3 full-lifecycle implementations of OpenText VIM (v7.5, v20.4, or newer) and IC4S / BCC. SAP Module Knowledge : Strong, hands-on functional knowledge of SAP FICO (AP, GL, Banking, Taxes) and SAP MM (Logistics Invoice Verification, PO lifecycle, Master Data). Technical Acumen : Deep understanding of SAP Archive Link, Document Pipelines, RFC connections, IDocs, BAPIs, and workflow configurations. S/4HANA Exposure : Direct experience implementing VIM in SAP S/4HANA using Central Invoice Management or Fiori-based VIM Workplace interfaces is highly preferred. Soft Skills : Exceptional leadership, stakeholder management, and articulate communication skills to interface confidently with Business users and stakeholders. Preferred Certifications : - OpenText Vendor Invoice Management (VIM) for SAP Solutions Certification. - OpenText Intelligent Capture for SAP (IC4S) / BCC Product Certification. - SAP Certified Application Associate - Financial Accounting or Management Accounting.

SAP VIM Consultant 

Job Title : Staff/Lead Engineer (Blockchain & DeFi) Function : Technology - Engineering Location : Gurgaon, India Employment Type : Full-time Key Responsibilities : - Design and build production-grade smart contracts and protocol integrations (EVM/Solidity; other chains as required), from architecture through deployment and upgrade management. - Architect wallet, custody, and transaction-orchestration services - key management integration (MPC/HSM/multisig), signing flows, nonce and gas management, and chain indexing. - Build robust backend services and APIs (microservices, event-driven architecture) that bridge on-chain activity with the bank's core platforms, ledgers, and compliance systems. - Own technical decisions end-to-end : system design, trade-off analysis, technology selection, and architecture reviews for the digital asset stack. - Integrate with DeFi protocols, liquidity venues, oracles, and bridges safely - including failure handling, reconciliation, and monitoring of on-chain positions. - Drive engineering excellence : coding standards, automated testing (including contract testing and fuzzing), CI/CD, observability, and infrastructure-as-code. - Partner closely with Security (including the Security Architect - DeFi), Risk, and Compliance to ship products that meet the bar of a regulated bank. - Lead incident response for production issues in the digital asset stack, driving root-cause analysis and long-term fixes. - Mentor and uplift senior and mid-level engineers; influence the technical roadmap across squads without direct people-management responsibility. - Stay ahead of the Web3 ecosystem - evaluating new chains, standards (e.g., ERC-4337, token standards), and tooling for adoption. Required Experience & Skills : - 10+ years of software engineering experience, with 3+ years building blockchain, Web3, or DeFi systems in production. - Deep hands-on experience with smart contract development (Solidity/EVM essential; Rust, Move, or Cairo a plus) and modern tooling (Foundry, Hardhat). - Strong backend engineering skills in at least two of : TypeScript/Node.js, Go, Rust, Java/Kotlin, or Python - with proven experience designing distributed systems at scale. - Experience with wallet infrastructure, key management (MPC/HSM), transaction signing, and chain indexing/data pipelines. - Solid understanding of DeFi primitives - AMMs, lending, staking, stablecoins, bridges, oracles - and how to integrate them safely. - Cloud-native engineering experience (AWS or Azure), Kubernetes, event streaming (Kafka or similar), and CI/CD at scale. - Strong security mindset : secure coding, contract audit readiness, and threat-aware design. - Track record of operating at Staff level - setting technical direction, leading through influence, and delivering complex systems across multiple teams. - Excellent communication skills; able to explain deep technical choices to product, risk, and executive stakeholders. Preferred Qualifications : - Experience in a crypto exchange, digital-asset custodian, Web3 protocol team, or blockchain-focused startup/accelerator environment. - Contributions to open-source Web3 projects, protocol design, or published technical work (audits, EIPs, research). - Prior experience in fintech or regulated financial services. - Familiarity with account abstraction, L2s/rollups, and cross-chain messaging.

Gurgaon/Gurugram

Delta6Labs - Staff/Lead Engineer - Blockchain & DeFi 

Role : DevOps Infrastructure Engineer III About us : Arrise powering pragmatic play is a fast growing and one of largest leading B2B content provider to the iGaming Industry and to our customers around the world, offering a multi-product portfolio that is innovative, regulated. Our passion for premium entertainment is unrivalled. We strive to create the most engaging and evocative experience for all our customers across a range of products, including slots, live casino, and bingo. Job Description : Arrise powering pragmatic play is seeking a Senior Infrastructure Engineer to join our team. This role involves infrastructure provisioning automation, configuration management, tool administration, production system support, application environment maintenance, observability, and internal tool development. You will be actively involved in all aspects of the team's activities. Responsibilities : - Architectural Design : Collaborate with senior architects to design scalable, reliable, and secure cloud solutions based on AWS best practices. - AWS Services Implementation : Implement and configure AWS services according to architectural designs, including but not limited to EC2, S3, RDS, Lambda, and VPC. Work closely with development and operations teams to ensure seamless integration of cloud components. - Security and Compliance : Implement and maintain security measures to safeguard cloud environments in all AWS architecture and deployment activities. - Troubleshooting and Optimization : Identify and resolve issues related to performance, scalability, and reliability. Implement monitoring and automation tools to optimize AWS infrastructure and applications. - Documentation : Create and maintain comprehensive documentation for architecture, configurations, and procedures. - Collaboration and Communication : Work closely with development teams to understand application requirements and provide guidance on AWS best practices. Qualifications : We are looking for an experienced Senior Infrastructure Engineer with the following qualifications : - Education : B.E/B.Tech or equivalent qualification. - Experience : 8 - 11 years in software engineering, including designing, developing, and operating robust and scalable cloud infrastructure services. - Technical Skills : 1. Hands-on experience with AWS, Google Cloud Platform (GCP), Datacenter, or similar cloud/on-premises platforms. 2. Linux administration and troubleshooting of Java applications in production. 3. Maintaining cloud infrastructure using Infrastructure as Code (IaC) with tools like Terraform or equivalent. 4. Continuous integration, deployment, and orchestration technologies (e.g., GitHub, Artifactory, Docker, Kubernetes, Terraform, Ansible, Jenkins). 5. Enterprise networking/AWS cloud networking (e.g., firewalls, WAFs, network segregation, VPNs, network ACLs, authentication & authorization services, identity & access management). 6. Cybersecurity practices, operations, risk management processes, threats, and vulnerabilities, including incident response methodologies. 7. Monitoring, logging, tracing, and alerting solutions. 8. Advanced shell scripting knowledge. 9. Scripting languages : Python, Groovy, Ruby, or equivalent. Additional Skills : 1. Excellent verbal and written communication skills. 2. Experience with startups and fast-paced environments is an advantage. 3. Experience in DevOps, CI/CD, Configuration, and Release Management areas and relevant tools. What We Offer : Driven by a persistence to craft immersive experiences and responsible thrills, our professional team consistently deliver best-in-class services with a dedication to create games that players love time and time again. - Professional and personal development - Opportunities to progress within a dynamic team. - Close and collaborative colleagues Our Values : - Persistence : We never give up and are determined to be the best at what we do. - Respect : We value and respect our clients, their players, and our team members, promoting professionalism, integrity and fairness without compromise. - Ownership : We take ownership of our work and consistently deliver in a reliable manner; always providing the highest level of quality.

ARRISE - DevOps Infrastructure Engineer III 

Job description Job Summary As a Senior Software Engineer, your responsibilities will include developing and maintaining Software defined Storage solutions. You will focus on solving complex problems, developing, testing, automating and collaborating with the Software Engineering team to deploy features in a production environment. Additionally, you will be responsible for designing and implementing managed Cloud Services based on given requirements. We expect you to have excellent coding skills and take a lead role in designing and implementing managed Cloud Services. Prior experience in Filesystems would be an added advantage, and you should also have the ability to quickly learn existing code and architecture. Job Requirements Lead to deliver features, including participating in the full software development lifecycle. Participate in product design, development, verification, troubleshooting, and delivery of a system or major subsystems, including authoring project specifications. Excellent Problem solver, proficient coder and a designer. Thorough understanding and extensive experience with Block/File technologies having hands-on experience in designing and developing software solutions. Proficient with any of the languages C, C++, and good to have Python. Strong in Data Structure and algorithms. System/Kernel programming, Experience with Filesystems or Networking or file/cloud protocols is a must. Experience with ONTAP or similar storage operating systems Familiarity with agile software development practices Continuously monitor, analyse, and measure system health, availability, and latency using native tooling. Develop and implement steps to improve system and application performance, availability, and reliability. Knowledge of infrastructure like hypervisor, Cloud Storage and experience with cloud services including Scaling, Monitoring, Load Balancers etc. is added advantage. Mentor junior members, participate in interviews, and contribute to building high-performance teams. Work on development, bug fixes/updates, spec updates, customer RCAs and automation. Strong oral and written communication skills. Engage in incident management processes to resolve production issues within agreed SLAs/SLOs. Education 8 to 12 years of experienceandmust be hands-on with coding. E/B. Tech or M. S in Computer Science or related technical field -

NetApp - Senior Software Engineer - C/C++/File System 

Role : Applications Support / Application Administrator. Location : Chennai. Exp : 5 - 9 Years. Work Mode : Hybrid. Contract : Contract. Role Summary : This is an Engineering Applications Support / Application Administrator role focused on supporting engineering and PLM tools in a global environment. The person will primarily : - Provide L2/L3 technical support for Aucotec Engineering Base (EB), Siemens EDA/EDM, and PTC Windchill. - Administer, configure, troubleshoot, upgrade, and maintain these applications. - Support ECAD and engineering data management processes. - Manage and troubleshoot integrations between Engineering Base - Windchill and Siemens EDA - Windchill. - Investigate application/integration problems, perform root-cause analysis (RCA), and implement fixes. - Work with SQL Server, XPLM Integration Suite, infrastructure, database, and engineering teams. - Support document management, workflows, lifecycle management, and engineering change/release processes in Windchill. - Handle incidents, problems, changes, and releases according to ITIL/AMS processes. - Maintain technical documentation and ensure SLA/KPI compliance.

Applications Support Administrator 

About the Role : Genpact is looking for a Lead Consultant - Databricks Platform Admin. This role focuses on configuration, upgrades, patches, security, and Databricks platform integration with AWS, IDM, and other technologies. Responsibilities : - Act as the Databricks account owner, managing workspaces, AWS accounts, audit logs, and high-level usage monitoring - Manage Databricks workspace users and groups including single sign-on, provisioning, access control, and workspace storage - Manage S3 access across a large user base - Manage cluster and jobs configuration options - Optimize usage for performance and cost - Build infrastructure as code (Terraform/CloudFormation template) - Implement Databricks security and privacy setup - Troubleshoot end-user and platform-level issues - Deliver client presentations and demos - Multitask and reprioritize tasks on the fly Requirements : - Good understanding of Unity catalog - Experience as Databricks account owner and workspace admin - Proficiency in AWS and Databricks platform integration - Experience with infrastructure as code tools - Strong troubleshooting and communication skills

Remote

Anywhere in India/Multiple Locations

Databricks Administrator 

Genpact is looking for an experienced Power BI Professional to join its growing analytics team. The role involves designing and delivering enterprise-wide business intelligence solutions, transforming complex data into meaningful insights, and developing interactive dashboards and reports that support data-driven business decisions. Key Responsibilities : - Design, develop, and maintain interactive Power BI dashboards, reports, and visualizations. - Work extensively with Power BI, DAX, Power Query, data modeling, SQL, and ETL processes. - Translate business requirements into scalable and impactful BI solutions. - Develop efficient data models to support reporting and analytics requirements. - Create complex DAX calculations, measures, KPIs, and calculated columns. - Perform data extraction, transformation, cleansing, and preparation using Power Query and ETL processes. - Develop dashboards that provide actionable insights and enable effective business decision-making. - Collaborate closely with business stakeholders to understand requirements and deliver analytics solutions aligned with business objectives. - Analyze complex datasets and identify trends, patterns, and opportunities for business improvement. - Ensure accuracy, consistency, performance, and usability of reports and dashboards. - Optimize existing Power BI reports, data models, and queries for improved performance. - Work with cross-functional teams to support enterprise-wide analytics initiatives. - Participate in requirement gathering, solution design, development, testing, deployment, and ongoing enhancement of BI solutions. Required Skills : - 8 - 10 years of experience in Business Intelligence, Data Analytics, or related areas. - Strong hands-on experience with Power BI. - Excellent knowledge of DAX and Power Query. - Strong understanding of data modeling concepts, including dimensional modeling. - Strong SQL skills for data querying and analysis. - Good understanding of ETL processes and data transformation. - Experience in developing enterprise-level dashboards and interactive reports. - Strong analytical and problem-solving capabilities. - Ability to understand business requirements and translate them into effective technical solutions. - Strong stakeholder management and communication skills. - Experience working with large and complex datasets and delivering actionable business insights.

Senior Power BI Lead - Data Analytics 

The Opportunity : We are looking for a seasoned Forward Deployed Engineer (FDE) to drive AI-led transformation across SAP landscapes. The role involves working closely with clients to identify business challenges, design SAP and AI-powered solutions, build rapid prototypes, and deliver scalable business outcomes. Key Responsibilities : - Engage with business and technology stakeholders to identify transformation opportunities. - Design end-to-end solutions leveraging SAP S/4HANA, SAP BTP, AI/ML, and automation technologies. - Develop and validate MVPs, pilots, and proof-of-concepts to demonstrate business value. - Lead delivery of cloud-native and enterprise-grade SAP solutions with end-to-end ownership. - Convert successful solutions into reusable assets, frameworks, and accelerators. Required Skills & Qualifications : - Strong expertise in SAP S/4HANA (Finance, Supply Chain, Manufacturing, or Logistics). - Hands-on experience with SAP BTP, integrations, APIs, and enterprise architecture. - Exposure to AI/ML, Generative AI, LLMs, intelligent automation, and data-driven solutions. - Proven experience in client-facing consulting and large-scale transformation programs. - Strong problem-solving, stakeholder management, and communication skills. Key Success Factors : - Customer-first mindset with a focus on business outcomes. - Ability to bridge business requirements and technical solutions. - Strong ownership, execution, and delivery orientation. - Excellent communication and collaboration skills. - Experience working in fast-paced, complex enterprise environments.

Mumbai

Pune

Capgemini - Forward Deployed Engineer - SAP AI Transformation 

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