Amazon Development Centre India Reviews by Employees

Customer Service Associate

Customer Service Executive

Transaction Risk Investigator

Associate

Customer Care Executive

Senior Associate

Process Associate

Customer Support Associate

Quality Specialist

Ml Data Associate

HR Assistant

Catalog Associate

Quality Analyst

Ml Data Associate 1

Seller Support Associate

Customer Support Executive

Investigation Specialist

Team Manager

Transportation Specialist

CS Associate

Senior Product Compliance Associate

Resolution Specialist

Data Associate

Operations Manager

Catalogue Specialist

sds associate

Digital Associate

Machine Learning Data Associate

Financial Analyst

Selling Partner Support Associate

Virtual Customer Support Associate

HR Associate

Senior Catalog Associate

Program Manager

Quality Service Associate

Catalog Lead

Vcs Associate

Manager

Senior Executive

C.S.A

Data Analyst

Senior Seller Support Associate

Quality Associate

Test Associate

Team Lead

Senior Customer Service Associate

Digital Content Associate

Senior Finops Analyst

Customer Service Representative

Business Analyst

Sr. Compliance Associate

Software Developer

Ml Data Associate 2

Selling Partner Support

Device Associate

Senior Financial Analyst

ERC Associate

Team Manager Operations

Information Technology Support Engineer

HR Executive

Finops Analyst

Technical Support Associate

Content Reviewer

Retail Process Associate

QA Engineer

Data Entry Operator

Automation Analyst

Senior Quality Service Associate

Risk Investigator

Assistant Manager

Senior Process Associate

Tron Analyst

Operations Associate

Business Operations Specialist

Chat Support Executive

Process Specialist

Analyst

Risk Analyst

Customer Associate

Retail Associate

Technical Support Engineer

Accounts Manager

Senior HR Associate

Senior Quality Associate

Supervisor

Senior Analyst

Software Engineer

Senior Customer Service Executive

Senior Associate Operations

Softwaretest Engineer

Operations Executive

Team Lead Operations

Executive

Technical Support Executive

Computer Operator

Case Manager

Account Assistant

Executive Accountant

HR Specialist

Company Overview: Amazon Development Centre (India) Pvt. Ltd. is a key subsidiary of Amazon, serving as a primary hub for global engineering, product development, and operational excellence. The organization operates at the intersection of e-commerce, cloud computing, digital streaming, and artificial intelligence, powering Amazons vast ecosystem of services. With a focus on customer obsession and long-term innovation, the company builds scalable technology solutions that impact millions of sellers, developers, and consumers across international markets. Role Overview: As a Senior Product Manager for the Cross-Border Platform within International Seller Services, you will lead the strategy and execution of products that enable sellers to expand their businesses globally. You will work closely with engineering, data science, and global business teams to remove friction in international trade, logistics, and compliance. Your day-to-day involves defining the product roadmap, analyzing complex cross-border trade data, and launching features that simplify the complexities of selling in foreign marketplaces. This role is pivotal in driving the growth of Amazons global footprint by ensuring sellers can seamlessly reach customers regardless of geographical boundaries. Key Responsibilities: - Define and own the product vision and roadmap for cross-border seller tools, ensuring alignment with global expansion goals and seller needs. - Collaborate with cross-functional engineering and design teams to build scalable, high-performance platforms that handle complex international regulatory and logistics requirements. - Analyze seller behavior and market trends to identify opportunities for reducing operational friction in cross-border transactions. - Partner with regional stakeholders across international marketplaces to localize product features and ensure they meet specific market demands. - Manage the end-to-end product lifecycle, from conceptualization and business case development to launch and post-launch performance monitoring. - Influence senior leadership through data-backed insights and clear communication regarding product performance and strategic pivots. Required Skillset: - Demonstrated ability to lead complex product initiatives from inception to delivery in a fast-paced, ambiguous environment. - Strong analytical proficiency, with the ability to translate large datasets into actionable product strategies and business outcomes. - Exceptional communication skills, with a proven track record of influencing cross-functional stakeholders and driving consensus across diverse teams. - Deep understanding of e-commerce, logistics, or fintech platforms, particularly those involving international trade or multi-market operations. - Ability to thrive in a collaborative, office-based environment in Hyderabad, engaging effectively with global teams across different time zones. - A Masters degree in Business Administration or a related technical field from a premier institute is highly preferred. - Candidates must possess 6 to 14 years of professional experience in product management, with a clear history of managing high-impact, large-scale platforms.

Hyderabad

Amazon - Senior Product Manager - Cross-Border Platform 

Job Description : OpsTech IT Wireless and Access Engineering owns delivering software-defined, automated, and incrementally scalable Wireless/Access network infrastructure products that improve the reliability of our wireless services for Amazons fulfillment centers and transportation sites, worldwide. These wireless solutions are used by hundreds of thousands of associates, relied upon by operators of industry-leading fulfillment and transportation systems, and play a critical role in the delivery of shipments to Amazon retail customers. The Wireless Network Development Engineer will leverage in-depth knowledge of Wireless networking engineering and operational practices to develop the organizational technical strategy used to ensure improved availability of one of the largest wireless networks globally. The candidate will partner with Software, Operations, and Engineering teams, to define, build, and automate the future solutions which will enable faster, scalable management, globally. You will identify themes and areas of improvement and deliver the software and design changes needed to affect change, by partnering with peer teams, coaching less tenured engineers to deliver on your behalf, or executing on your own. Our team has a broad scope covering multiple business globally, from the smallest delivery stations in emerging markets to the most advanced automated fulfillment centers in North America, Japan, and Europe. As a result, this group enjoys a variety of both tactical and strategic projects. This is a unique opportunity that will enable you to grow your skills as an engineer and have a lasting impact on Amazons fulfillment networks for years to come. Key job responsibilities : - Identifying, developing, and delivering technical solutions that improve the availability of our wireless network technologies. - Partner with peer teams to collectively interpret the customer problems and find technological solutions utilizing wired networking technologies. - Define and meter the availability of our existing and future network solutions, ensuring they meet or exceed the needs of our customers. - Identify and deliver solutions that reduce operational impact to customers and enable them with scalable, resilient, and cost optimized services. - Dive deep on complex problems that identify root causes of our customer impacts, developing and delivering corrective actions. - Evaluating new technologies, lab testing, proof of concept (PoC), run books definition, and pilot deployment. - Innovate and automate infrastructure testing, deployment, operations, and life cycle management. - Defining the strategy for future team processes, tools, and systems which improve how we maintain and manage them effectively, efficiently, and safely. - Be a part of Global organization that provides 24x7 escalation service on shift rotation basis. Some night and weekend coverage may be required. - Effectively contribute to hiring and developing top talent at Amazon. - Develop automation to resolve wireless network failures. - Investigate challenging problems to identify root cause and make recommendations for improving the customers experience on Wifi. - Create and update the wireless network design to improve reliability. - Mitigate and solve network availability risks. - Partner with peer networking teams on overall network design to provide feedback and improvements from the wireless network perspective. - Participate in an on call rotation. - Implement metrics to measure wireless availability and identify performance risks. Basic Qualifications : - 4+ years of major internet routing protocols experience. - 4+ years of working in a Linux/Unix environment experience. Preferred Qualifications : - 1+ years of automation scripting using Python, Bash, Shell and/or Perl experience.

Bangalore

Amazon - Wireless Network Development Engineer II 

This role is a Senior Product Manager - Customer experience (CX) role in the Smart Commerce team. Amazon Smart Commerce is a comprehensive suite of Agentic solutions that helps D2C brands build and scale online commerce on their own websites and social media channels. Senior Product Manager - Customer experience (CX) owns the core shopping platform which brands leverage to build their own websites which customers would love to shop on. The key responsibilities include partnering with key stakeholders across business & technology teams to formulate, prioritize, and execute the product roadmap tailored to the unique needs of online shoppers. The role is also expected to influence 3P development partners to develop solutions that cater to the diverse requirements of our customers. The ideal candidate for this position comes with strong product management experience, is customer obsessed, data-driven, and is able to operate with minimal supervision. They should have strong problem-solving skills, be able to influence partner teams, and juggle multiple tasks with competing deadlines. Key job responsibilities: 1. Roadmap Management: - Define high quality product roadmap based on business strategy and voice of customer. - Manage a cross-functional process to translate the desired customer experience into a logically sequenced and optimized product roadmap. - Create buy-in for the product roadmap with internal and external stakeholders. 2. Requirements Definition: - Partner with UX design team to develop high quality requirements and manage the scope of each product launch to deliver key capabilities on time. 3. Product Roll-out: - Create and execute go-to-market plans for new products and features. - Work closely with product engineering to develop product(s) and go-to-market teams (marketing) to drive adoption. - Define and monitor key performance metrics to ensure performance, and continually optimize operational efficiencies. - Be comfortable with hands-on, day-to-day problem solving, implementing quick and effective action plans to meet short term priorities. - Equally comfortable in generating a 3-year strategic vision. - Prepare and present business reviews to senior management. Basic Qualifications: - 1. Bachelor's degree. - 2. Experience owning/driving roadmap strategy and definition. - 3. Experience with feature delivery and tradeoffs of a product. - 4. Experience contributing to engineering discussions around technology decisions and strategy related to a product. - 5. Experience managing technical products or online services. - 6. Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning. Preferred Qualifications: - 1. Experience in using analytical tools, such as Tableau, Qlikview, QuickSight. - 2. Experience in building and driving adoption of new features. Basic Qualifications: - 5+ years of product or program management, product marketing, business development or technology experience. - Bachelor's degree or equivalent. - Experience owning/driving roadmap strategy and definition. - Experience with end to end product delivery. - Experience with feature delivery and tradeoffs of a product. - Experience as a product manager or owner. - Experience owning technology products. Preferred Qualifications: - Experience in influencing senior leadership through data driven insights. - Experience working across functional teams and senior stakeholders. - Experience in building online commerce shopping experience products.

Amazon - Senior Product Manager - Customer Experience 

Job Description : - Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or experience working in Science, Technology, Engineering, or Mathematics (STEM). - 5+ years of business analyst, data analyst or similar role experience. - 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience. - Experience with data visualization using Tableau, Quicksight, or similar tools. - Experience defining requirements and using data and metrics to draw business insights. - Experience making business recommendations and influencing stakeholders. - Experience communicating results to senior leadership, or experience in solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits). - 3+ years analyzing and interpreting data using SQL, Redshift, Oracle, NoSQL, Hadoop/Hive, or similar technologies. - Strong programming skills in Python and SQL with ability to handle large datasets. - Ability to deliver high-quality work with limited guidance. Key Responsibilities : - Design and maintain scalable data models and dashboards to provide stakeholders with real-time visibility into key performance metrics. - Conduct deep-dive investigations into operational data to identify root causes of performance fluctuations and propose data-backed solutions. - Collaborate with cross-functional teams to define success metrics for new product launches and feature rollouts, ensuring alignment with long-term business goals. - Automate recurring analytical tasks and reporting workflows to improve team productivity and data accuracy across the organization. - Present complex analytical findings to senior leadership in a clear, concise manner to facilitate informed strategic planning.

Amazon - Business Analyst II - Python/SQL 

Job Description : Amazon is seeking an experienced Product Manager to lead the development of a new cross-border business platform. This role will be responsible for building an innovative platform that enables seamless international commerce, working at the intersection of business strategy, technology, and regulatory compliance. You will completely own & drive the end-to-end product vision, strategy, and execution (with technology teams), product adoption for this greenfield initiative that will redefine how businesses engage in cross-border trade on Amazon. You should enjoy working in a start-up environment & will need to develop a deep understanding of cross-border trade, regulations, logistics, payments and seller/customer needs. You will have to align and coordinate with multiple cross-functional teams including Legal, Tax, Trade Compliance, Logistics, and Payments. Key job responsibilities : Product Strategy : - Define and drive the product strategy for a new cross-border business platform from concept to launch. - Drive both long-term vision and short-term execution plans to achieve business results. Roadmap Planning and Execution : - Provide value-based prioritization of product development initiatives to ensure maximum ROI, Manage cross-functional processes for prioritizing, delivering, and launching major product releases Requirements Definition : - Develop comprehensive product plans, Produce high quality requirements documents and effectively prioritize and manage the scope of each product launch to deliver key capabilities on time and on budget. - Writes user stories to communicate customer needs in an Agile development environment. Product Roll-out : - Create and execute go-to-market plans for new features. - Monitor key performance metrics to ensure product performance and identify optimization opportunities. - Partner with business and marketing teams to drive product adoption Cross-Functional Leadership and Alignment : - Collaborate with technology & functional teams (biz, legal) teams to deliver scalable, world-class platform solutions. - Influence without authority and earn trust across a wide range of technical and non-technical stakeholders A day in the life : The ideal candidate will be enthusiastic about managing challenging, complex and ambiguous projects across multiple teams and locations. We are looking for a tenured Product leader who shares Amazon's passion for the customer - someone who understands the importance of compelling features and functionalities in driving great experience. You will work in a fast-paced environment, balancing the needs of diverse stakeholders while maintaining focus on delivering customer value and business impact Internal job description : This role is for experienced Product Managers who want to build a new product solution with big impact.

Amazon - Senior Product Manager - Strategy & Roadmap 

Description : Amazon is hiring for a Design Technologist I position in Bangalore. What You'll Do : You will design and build production-quality, interactive landing pages and custom brand store experiences for millions of customers. This role requires a balance of development and design skills, as you will write clean, production-ready front-end code, craft fluid page animations, and focus on every interaction detail. What We're Looking For : - 3+ years of hands-on experience building interactive, production-quality web pages using React.js, HTML5, CSS3, and JavaScript (ES6+) - Demonstrable experience implementing page animations and transitions using GSAP, Framer Motion, or similar animation libraries - Strong working knowledge of Figma, with the ability to inspect designs, extract tokens, and translate design systems into front-end code - Experience with responsive web design, cross-browser compatibility, and mobile-first development - Familiarity with front-end build tools and workflows (Webpack, Vite, npm/yarn) - A strong developer and design portfolio showcasing shipped interactive web apps, landing pages, or branded digital experiences (link required with application) Please apply only if you have the following experience : 1. Production-quality front-end development React.js, HTML5, CSS3, JavaScript (ES6+), responsive and performant web builds. 2. Rich animation implementation GSAP, Framer Motion, or equivalent; scroll-driven storytelling, parallax, micro-interactions. 3. Design-to-code translation from Figma ability to interpret design systems, extract tokens, and deliver pixel-accurate interactive experiences.

Amazon - Design Technologist I 

Role & responsibilities: - Create actionable business insights through analytical and statistical rigor to answer business questions, drive business decisions, and develop recommendations to improve operations - Collaborate with Product Managers, software engineering, data science, and data engineering partners to design and develop analytic capabilities - Define and govern key business metrics, build automated dashboards and analytic self-service capabilities, and engineer data-driven processes that drive business value - Navigate ambiguity to develop analytic solutions and shape work for junior team members Basic Qualifications: - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - 2+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience - Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field, or 2+ years of Amazon RME (BB/3P) Full Time Exempt experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience using SQL (Structured Query Language) to pull data from a database or data warehouse - Experience using Python scripting to process data for modeling Preferred candidate profile: - Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field - Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc. - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets - Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

Amazon - Business Intelligence Engineer II - Tableau 

Designation : Vice President - AI & Data Science Experience : 15+ years Location : Chennai Who we are? M2P Fintech is a leading Banking Technology Platform, shaping the future of digital finance. Established in 2014 and headquartered in Chennai, we have a strong footprint across 30+ countries in Asia-Pacific, the Middle East & Africa (MEA), and Oceania. At the forefront of next gen fintech, we drive innovation in banking, lending, and payments infrastructure. Powering global fintech transactions, our comprehensive technology stack enables seamless banking solutions, lending platforms, Buy Now Pay Later (BNPL) services, customized credit cards, prepaid cards, and more. About This Role : Our enterprise ML practice is active and growing, with live deployments across multiple customers. As our platform capabilities expand, we need a dedicated leader to own the delivery of these client-facing AI and ML solutions. This leader will ensure the successful execution of current commitments while identifying new opportunities to apply data science to solve critical business problems for our clients, working in close partnership with the AI/ML platform team. What will you do in this role : - Own Customer AI/ML Delivery : Take complete ownership of existing enterprise AI and ML customer commitments, ensuring zero disruption to live deployments and maintaining high levels of customer satisfaction. - Lead the Data Science Team : Lead and scale the data science and applied ML organization. Foster a culture of innovation, practical application, and business impact. - Drive Business Solutions : Work directly with enterprise customers and internal product teams to translate business needs into data science projects. Oversee the entire lifecycle from problem definition and model development to deployment and iteration. - Collaborate on Platform Needs : Act as a key stakeholder and primary internal customer to the AI/ML Platform Engineering team, providing critical feedback and requirements to ensure the platform meets the needs of the data science delivery function. - Represent AI/ML Capabilities : Serve as a subject matter expert in customer-facing conversations, articulating the value and application of our AI/ML solutions. What You'll Need to be successful in this Role : - 15+ years of experience in data science or ML, with a meaningful portion in a leadership capacity focused on enterprise solution delivery. - Deep production-grade AI and ML experience with a proven track record of shipping AI-native products and data science solutions to external enterprise customers. - Experience leading client-facing data science or applied ML teams. Strong ability to manage project delivery, timelines, and stakeholder expectations under competing priorities. - Proven ability to translate complex business problems into concrete data science initiatives that drive commercial value. - Strong leadership and communication skills, with the ability to mentor data scientists and engage effectively with both technical and non-technical executives. Perks and Benefits : - Inclusive and People-First Culture. - Health & Wellness Programs. - Comprehensive Medical Insurance. - Recognition Programs. - Performance-based ESOPs. - Learning Opportunities

Chennai

M2P Fintech - Vice President - AI & Data Science 

Viamagus Technology : Software Development Engineer (Backend) : Build systems that move the world. Viamagus Technology partners with high-growth product and enterprise technology companies to bring exceptional engineering talent to teams solving real-world problems at scale. If you're an engineer who enjoys designing distributed systems, solving hard backend problems, debugging production issues, and seeing your code make an impact at massive scale, this role is for you. What You'll Own : This isn't a role where you just pick up tickets. You own the backend end-to-end. From the first design discussion to production deployment, and from monitoring dashboards to the occasional production mystery, you'll be responsible for building systems that are reliable, scalable and built to last. - Architect and build high-scale backend systems used in enterprise environments - Design fault-tolerant, distributed services with clear SLIs/SLOs, strong observability and predictable performance - Build and evolve microservices and distributed workflows involving messaging, asynchronous processing, retries and idempotency - Turn complex business requirements into simple, robust technical solutions - Work closely with Product, Frontend, QA/SDET, DevOps/SRE and Data teams - Participate in design reviews, code reviews and architecture discussions - Own production systems, troubleshoot challenging issues and continuously improve reliability - Mentor engineers and help raise the engineering bar across the team - Most importantly, keep building. This is a hands-on engineering role, not a purely managerial one What We're Looking For : Must Have : - 6 - 10 years of experience building production backend systems, preferably in SaaS or product companies - Strong fundamentals in distributed systems, concurrency, scalability and reliability - Strong hands-on experience with Java and Spring/Spring Boot - Proven experience designing and building REST APIs and microservices - Good understanding of relational & NoSQL databases, Kafka/RabbitMQ, and Redis/Memcached - Strong debugging and problem-solving skills, comfortable getting to the root cause of complex production issues - Experience with at least one major cloud platform - AWS, GCP or Azure - Exposure to CI/CD, automated testing and observability - A genuine track record of shipping production code, not just creating designs or managing teams The Engineering Stack : - Languages : Java, Kotlin, Python, TypeScript, Spring / Spring Boot - Infrastructure : AWS, Kubernetes, Kafka, PostgreSQL, Redis, Elasticsearch - Data & ML : Spark, Airflow, optimization engines covering areas such as routing, ETA and slotting The Scale You'll Work With : - This is engineering at a serious scale : 350+ deployments, 30+ countries, billions of deliveries, high-volume daily computations. - The systems you build won't just serve a few thousand users. They'll help move goods across the world. And If You Go Beyond Your Day Job : We love engineers who are curious outside their job description. It's a strong plus if you've : - Built an interesting side project or internal tool - Contributed to open source - Filed a patent or published research - Written technical content or spoken at engineering conferences - Competed in hackathons, competitive programming or other challenging pursuits You don't need all of these. We're simply interested in people who build, explore and push themselves. Why This Role : Because you'll get to work on problems that are genuinely hard. Distributed systems. Massive scale. Reliability. Performance. Real-world optimization. You'll have the opportunity to work alongside strong engineers, influence architecture, mentor others and still spend your time doing what great engineers love most, building things. Ready to build what comes next? If you're ready to take ownership, solve problems that don't have obvious answers, and build backend systems that operate at global scale, we'd love to hear from you.

Software Development Engineer - Backend Systems 

About Exotel : Exotel is India's leading AI-first cloud communications platform, powering over 25 billion customer conversations annually for 6,000+ enterprises across India, Southeast Asia, and the Middle East. From voice and contact centres to AI-powered customer engagement, Exotel enables businesses to build reliable, scalable, and intelligent customer experiences. As we continue to scale and prepare for our next phase of growth, we're looking for leaders who can help deliver exceptional customer outcomes. About the Role : The Lead - Forward Deployment Engineers (FDE) will lead a team of Resident Engineers embedded with enterprise customers to deliver integrations, customisations, automation, and technical solutions on Exotel's platform. You will be responsible for team leadership, delivery excellence, customer escalations, stakeholder management, and driving technical best practices across customer engagements. What You'll Do : 1. Team Leadership : - Lead, mentor, and grow a team of 10 - 20 Resident Engineers. - Drive hiring, onboarding, performance management, and career development. - Build a culture of ownership, accountability, and continuous learning. 2. Delivery & Operations : - Own delivery quality across customer implementations and integrations. - Ensure the successful execution of APIs, workflows, automations, AI bots, and platform customisations. - Drive SLA adherence, operational excellence, and continuous improvement. 3. Customer Management : - Act as the leadership escalation point for enterprise customers. - Partner with customer IT, engineering, and business stakeholders. - Participate in customer reviews, governance meetings, and escalation management. 4. Solutioning & Innovation : - Guide integration architecture and technical solution design. - Promote reusable frameworks, automation, and best practices. - Drive adoption of AI-powered customer engagement solutions and emerging technologies. What We're Looking For : Experience : - 6 - 10 years of experience in SaaS, CPaaS, CCaaS, Contact Centre, or Enterprise Software environments. - 2+ years of experience managing technical or delivery teams. - Strong experience leading customer-facing technical projects and enterprise implementations. Technical Expertise : - Strong knowledge of REST APIs, Webhooks, CRM integrations, and enterprise applications. - Experience with Salesforce, Zoho, Freshdesk, Zendesk, or similar platforms. - Understanding of IVR, SIP, VoIP, WebRTC, Contact Centre, and Customer Engagement technologies. - Working knowledge of AWS/GCP/Azure, Linux, SQL, and networking fundamentals. Customer & Leadership Skills : - Strong stakeholder management and escalation handling experience. - Ability to engage confidently with enterprise customers and senior stakeholders. - Excellent problem-solving, communication, and team leadership skills. - Data-driven approach to delivery management and operational excellence. Good to Have : - Experience as a Resident Engineer Manager, Technical Account Manager, Solutions Engineering Lead. - Exposure to Conversational AI, Voice Bots, Chatbots, and AI-powered CX solutions. - Familiarity with platforms such as Twilio, Genesys, Amazon Connect, Yellow.ai, Freshworks, or similar technologies. - PMP, ITIL, Scrum, or related certifications.

Gurgaon/Gurugram

Exotel - Lead Forward Deployment Engineer 

Your Role : - Strong Python skills. - Experience with deep learning frameworks (TensorFlow, PyTorch, JAX). - Knowledge of NLP and ML. - Hands-on with GCP services : Vertex AI, Cloud Functions, Pub/Sub, BigQuery. - Practical experience with Generative AI models (Gemini, Vertex Search). - Familiarity with prompt design/tuning, vector stores, embeddings. - Ability to build endpoints using Flask/FastAPI. Your Profile : - Proven experience delivering AI solutions on Vertex AI. - Knowledge of Transformer models (BERT). - Professional ML Engineer certification preferred. - Problem-solving and analytical skills. What you'll love about working here : We recognise the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance Our focus will be your career growth & professional development to support you in exploring the world of opportunities. Equip yourself with valuable certifications & training programmes in the latest technologies such as Gen AI Vertex AI GCP Cloud.

Anywhere in India/Multiple Locations

Capgemini - Generative AI/Vertex AI Engineer 

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

Databricks Administrator 

Job Description : Roles and Responsibilities : - Design, build, and continuously improve production AI systems for complex healthcare workflows, including documentation, coding, denial management, appeals, and revenue cycle automation. - Prototype new AI capabilities from 0 to 1, then harden them into reliable, explainable, auditable production systems with clear contracts, monitoring, evidence, and performance gates. - Build rigorous evaluation and feedback loops using expert review, production logs, model outputs, and benchmarks to measure performance, regressions, reliability, cost, and business impact. - Own outcomes end to end: understand the workflow, design the system, inspect failures, improve the system, and prove that the improvement matters. - Set technical direction for a portfolio of projects, review designs, and mentor engineers as a technical lead. - Partner with research, ML engineering, platform, and product teams on model selection, training, infrastructure, and Productionalization. Skills Required : - 5 - 10 years of Applied Research, ML engineering, research engineering, software engineering, or applied AI experience. - A track record of shipping and operating production systems, ideally in ambiguous, high - stakes domains. - Prior experience in healthcare, revenue cycle management, or other regulated industries is a plus, not a requirement. Education : - Bachelor's degree in computer science, Engineering, Mathematics, or a related quantitative field, or equivalent practical experience. - Master's or PhD in Computer Science, AI/ML, or a related field is a plus.

Ensemble Health Partners - Lead AI Engineer 

Position : Senior Full Stack Engineer/ Technical Lead .NET Core | Azure | React | AI Location : Bangalore Job Summary : We are looking for a Senior Full Stack Engineer with strong hands-on experience in C#/.NET Core, Azure, React, and AI-enabled application development. The ideal candidate will be responsible for designing, developing, and operating secure, scalable enterprise applications in a global and regulated environment. You will work across the complete technology stack, contribute to architecture and technical decisions, and build AI-native products and workflows using modern AI coding agents such as Claude Code, Codex, or similar tools. Key Responsibilities : - Design and develop modern web applications using React, Next.js, TypeScript, HTML, and CSS. - Develop scalable backend services and REST APIs using C#, .NET Core, ASP.NET, WebAPI, and MVC. - Design and implement cloud-native solutions using Microsoft Azure PaaS services. - Use AI-assisted and agentic development practices using tools such as Claude Code, Codex, or similar AI coding agents. - Follow spec-driven development practices where detailed specifications guide development, testing, and AI-agent implementation. - Design and implement AI-powered application features, including LLM integrations, prompt engineering, RAG, and AI-assisted workflows. - Evaluate and integrate AI APIs, models, and frameworks while considering security, responsible AI, cost, and observability. - Contribute to system architecture, technical design, REST APIs, integrations, and event-driven solutions. - Build secure and reliable applications with strong focus on performance, scalability, observability, privacy, and auditability. - Own features end-to-end, from technical design and development through testing, deployment, and production support. - Implement logging, monitoring, alerting, incident support, and operational documentation. - Work closely with Product, Implementation, and Client-facing teams to translate business requirements into technical solutions. - Conduct code reviews, mentor engineers, and provide technical guidance to the development team.

Nous Infosystems - Senior Software Development Engineer/Technical Lead - Full Stack Technologies 

Mandatory Skills : - Hands-on Snowflake experience. - Strong SQL proficiency (CTEs, Joins, Window Functions, Query Optimization). - ETL/ELT & Data Engineering experience. - Data Modelling & Data Validation. - Power BI dashboard development. - Enterprise project experience. Preferred Skills : - DBT, Airflow, ADF, Databricks. - ServiceNow / ITSM exposure. - AWS/Azure experience. Key Focus Areas : - Snowflake, SQL, Data Validation, Data Engineering, and handling data from multiple source systems. - Power BI is secondary. - Technical SQL and Snowflake assessment expected. Note : - We are not looking for Power BI Admin/Reporting-only profiles, Data/Product/Business Analysts, or ServiceNow-focused profiles. Candidates must have Snowflake project ownership.

Sonata Software - Senior Data Engineer - Snowflake DB 

Role Overview : We are looking for an experienced SAP PP/QM Consultant with strong hands-on expertise across SAP Production Planning (PP) and Quality Management (QM). The role will involve implementation, rollouts, support, configuration, integration, and business process optimization across SAP environments. Key Responsibilities : - Work on SAP PP & QM implementation, rollout, enhancement, and support projects. - Configure and support Production Planning processes including MRP, BOM, Routing, Work Centers, Production Orders, and Capacity Planning. - Configure and support SAP QM processes including Quality Planning, Inspection, Quality Control, Notifications, and Certificates. - Manage integration of PP/QM with MM, SD, and other SAP modules. - Analyze business requirements and translate them into effective SAP solutions. - Configure, test, troubleshoot, and resolve functional issues across PP and QM. - Prepare functional specifications, test scenarios, and supporting documentation. - Work closely with business users and technical teams during implementation and support activities. - Provide functional support and contribute to process improvements. - Participate in SAP S/4HANA projects and transformation initiatives. Required Skills : - 7 - 10 years of SAP PP/QM experience. - Strong hands-on experience in SAP PP and QM configuration. - Good knowledge of Production Planning, MRP, BOM, Routing, Work Centers, Production Orders, and Capacity Planning. - Strong understanding of SAP QM including Quality Planning, Inspection, Quality Control, Notifications, and Certificates. - Strong knowledge of PP-QM integration with MM, SD, and other SAP modules. - Experience in implementation, rollout, and production support. - Exposure to SAP S/4HANA preferred. - Strong analytical, troubleshooting, communication, and stakeholder management skills.

Pune

GyanSys - Senior SAP PP/QM Consultant 

AI Engineer (Backend) Banyan Software TechGrove is the Centre of Excellence for Banyan Software, based in Chennai, India. It plays a key role in supporting Banyan's global businesses through technology, security, and software development. TechGrove brings together India's deep pool of technical talent with Banyan's long-term approach to growth, creating a trusted, developer-focused environment where people can do their best work. Role Overview : We're seeking an experienced AI Engineer with strong backend engineering skills to build and operate the AI agents and Python services behind our property-management platform. This role is responsible for developing agent-based workflows, the FastAPI services around them, and the evaluation, guardrails and cost controls that make AI output reliable enough for production use in an audit-sensitive domain. Key Responsibilities : - Design, build and extend agent workflows - supervisor routing, tool calling, human-in-the-loop approval, guardrails and fallback chains. - Develop and maintain FastAPI backend services with REST and SSE streaming, async SQLAlchemy, Alembic migrations and JWT-based authentication. - Implement RAG retrieval and grounding over technical documentation and historical work orders, so AI recommendations can cite their evidence. - Build and own the evaluation harness - replay testing against golden traces, fake-LLM unit tests, and behaviour-drift detection in CI. - Manage AI cost and reliability controls - per-tenant token budgets, rate limits, usage tracking and multi-model routing through the model gateway. - Define and version the schemas and API contracts exchanged between agents and services, with automated contract testing against OpenAPI specs. - Integrate AI agents with ERP and third-party systems, and contribute to the spec-driven code generation pipeline. Required Skills & Experience : - Strong Python engineering with production services - async, typing, testing and packaging. - Hands-on production experience with LLM orchestration frameworks (LangGraph, LangChain or equivalent), tool calling and structured output. - Proven experience evaluating non-deterministic systems - eval harnesses, replay testing and regression detection. - Solid backend and API design skills - schema design, versioning, REST/SSE and event-driven patterns. - Strong relational database skills (PostgreSQL preferred) beyond ORM basics, including query performance analysis. - Working knowledge of AWS (ECS Fargate, Bedrock, S3, SQS/SNS) and CI/CD practices. - 5 - 8 years in software engineering, including at least 18 months building production LLM/AI systems.

Banyan Software - AI Engineer 

Key Responsibilities: - Design, develop, and maintain scalable enterprise applications and REST APIs using C# and .NET. - Develop efficient and optimized solutions using strong Data Structures & Algorithms concepts. - Design and implement robust database structures, queries, and stored procedures using SQL. - Perform SQL query optimization and performance tuning for high-volume applications. - Implement business logic involving FIFO (First-In, First-Out) processing. - Develop and maintain Average Cost calculation logic for financial and investment-related systems. - Build and integrate RESTful APIs with internal and external systems. - Troubleshoot complex technical issues and perform root-cause analysis. - Write clean, maintainable, scalable, and well-tested code. - Collaborate with product, engineering, and business teams to understand requirements and deliver reliable solutions. Required Skills: - Strong experience with C#, .NET, and SQL. - Good understanding of Data Structures & Algorithms (DSA). - Experience in database design, query optimization, and SQL performance tuning. - Experience implementing FIFO logic. - Knowledge of Average Cost calculations. - Experience designing and developing REST APIs. - Strong problem-solving and debugging skills. - Experience in Trading, Investment, or Capital Markets is highly preferred. Interview Expectations: - Candidates should be able to: 1. Solve live coding problems using DSA. 2. Explain their approach and write clean, optimized code. 3. Handle edge cases and analyze time and space complexity. 4. Demonstrate strong logical thinking and problem-solving skills. 5. Have experience with coding platforms such as LeetCode or HackerRank (preferred).

Noida

Senior Software Development Engineer - .Net Frameworks 

About Exponentia.ai : Exponentia.ai is a fast-growing AI-first technology services company, partnering with enterprises to shape and accelerate their journey to AI maturity. With a presence across the US, UK, UAE, India, and Singapore, we bring together deep domain knowledge, cloud-scale engineering, and cutting-edge artificial intelligence to help our clients transform into agile, insight-driven organizations. We are proud partners with global technology leaders such as Databricks, Microsoft, AWS, and Qlik, and have been consistently recognized for innovation, delivery excellence, and trusted advisories. About the Role : We are seeking a highly skilled Senior Data Scientist to lead the design, development, validation, and deployment of customer propensity models on AWS. The ideal candidate will possess strong expertise in predictive modeling, advanced analytics, statistical methodologies, and machine learning, with a proven ability to translate business objectives into actionable insights and measurable outcomes. This is a hands-on analytical leadership role that requires ownership across the complete model lifecycle, from problem framing and experimentation to deployment, monitoring, governance, and stakeholder engagement. Key Responsibilities : 1. Propensity Modeling & Advanced Analytics : - Lead stakeholder discussions to define target populations, prediction horizons, business outcomes, intervention strategies, and success metrics. - Design and implement propensity modeling frameworks to support customer acquisition, retention, cross-sell, upsell, and engagement initiatives. - Develop advanced machine learning models using statistical and predictive techniques. - Drive feature engineering, model selection, tuning, validation, and performance optimization activities. - Establish model acceptance criteria, evaluation methodologies, and analytical standards. 2. Model Development & Validation : - Build predictive, segmentation, ensemble, and optimization models using structured and transactional datasets. - Ensure robust handling of class imbalance, data leakage, bias mitigation, calibration, explainability, and model stability. - Conduct hypothesis testing, statistical inference, experimentation, and performance benchmarking. - Implement champion-challenger strategies and continuous model improvement frameworks. 3. AWS Machine Learning Platform Delivery : - Develop and operationalize machine learning solutions using AWS services such as Amazon SageMaker, S3, Athena, and AWS Glue. - Collaborate with Data Engineering teams to design scalable data preparation and feature engineering pipelines. - Support deployment, monitoring, retraining strategies, and model lifecycle management. - Ensure secure, scalable, and cost-effective utilization of AWS services. 4. Stakeholder Management & Business Impact : - Translate analytical outputs into business recommendations, customer segments, prioritization frameworks, and intervention strategies. - Present findings, insights, risks, and recommendations to technical and business stakeholders. - Partner with business teams to measure model effectiveness and track business outcomes. 5. Mentorship & Governance : - Mentor junior Data Scientists and provide guidance on analytical methodologies and best practices. - Review code, experiments, documentation, and model performance reports. - Define and enforce model governance, validation standards, monitoring frameworks, and documentation practices. Ideal Candidate Profile : - 5 - 7 years of experience in Data Science, Predictive Analytics, Customer Analytics, or Machine Learning. - Strong expertise in propensity modeling, predictive analytics, segmentation, and statistical modeling. - Hands-on experience building and deploying ML solutions on AWS. - Strong understanding of model explainability, validation techniques, and model governance. - Ability to convert complex business challenges into practical analytical solutions. - Excellent communication and stakeholder management skills. Preferred Qualifications : - Master's degree preferred in Statistics, Mathematics, Economics, Computer Science, Data Science, Engineering, or a related quantitative discipline. - Bachelor's degree with strong relevant industry experience will also be considered. Why Join Exponentia.ai? - Innovate with Purpose : Opportunity to create pioneering AI solutions in partnership with leading cloud and data platforms - Shape the Practice : Build a marquee capability from the ground up with full ownership - Work with the Best : Collaborate with top-tier talent and learn from industry leaders in AI - Global Exposure : Be part of a high-growth firm operating across US, UK, UAE, India, and Singapore - Continuous Growth : Access to certifications, tech events, and partner-led innovation labs - Inclusive Culture : A supportive and diverse workplace that values learning, initiative, and ownership

Exponentia.ai - Senior Data Scientist - Propensity Modeling 

About the Role : Most boards and executives are currently flying blind when it comes to cyber risk. At Safe, we've built an AI-driven engine that finally gives the C-Suite a clear, quantified, and real-time view of their security posture. We are a $170M Series C-funded category leader operating at the highest levels of global enterprise, serving 10% of the Fortune 500. Job Overview : As a Senior DevOps Engineer, you will play a critical role in designing, implementing, and maintaining secure and scalable infrastructure while driving automation initiatives to improve system observability, availability, reliability, and performance. Core Responsibilities : - CI/CD Pipeline Management : Build and maintain CI/CD pipelines to facilitate efficient and reliable software delivery. - DevOps Tooling : Envision, implement, and roll out cutting-edge DevOps tooling and automation to streamline development and deployment processes. - Cloud Cost Optimization : Develop strategies and implement measures to optimize cloud costs while maintaining system performance and reliability. - Incident Response : Practice sustainable incident response strategies and participate in peer reviews and postmortems to continuously improve system reliability. - Infrastructure Management : Manage our multi-environment infrastructure deployed in AWS cloud, comprising Dockerized microservices in AWS ECS & various data stores and queueing technologies. - Automation : Leverage modern solutions like Terraform & Ansible to reduce manual efforts and increase efficiency. Qualifications : - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Minimum of 5+ years of proven experience as a DevOps Engineer or in a similar capacity. - Strong understanding of Infrastructure as Code tools using AWS CloudFormation, Terraform, Ansible, Puppet, Chef, or an equivalent. - Extensive experience with cloud computing concepts and utilizing major cloud service providers (e.g., AWS, GCP, Azure). - In-depth knowledge of Docker, with practical exposure to container networking, storage interfaces, orchestration, deployment, scaling, monitoring, and troubleshooting. - Strong experience with monitoring and alerting tools such as Datadog, Grafana, Prometheus, or New Relic. - Functional knowledge of microservice architecture & hands-on experience with Kubernetes-based workload troubleshooting & best practices. - Strong understanding of scripting languages like Bash, Python, etc. - Hands-on experience in CI/CD with tools such as Jenkins, GitHub Actions, etc. - Functional knowledge and understanding of SQL and NoSQL databases. Perks & Ownership : - Meaningful Equity : Every Safestar is a shareholder. - Unlimited Leaves : We trust you to take the time you need to recharge. - Comprehensive Benefits : Top-tier medical insurance and wellness benefits. - Career Trajectory : Aggressive growth with clear advancement paths.

Karnataka

Lucideus - Senior DevOps Engineer 

About this role : AI-focused Software Development position responsible for the architecture, implementation, design, and deployment of algorithms and Python based applications to help fulfill our Research & Consulting Delivery strategy. What you'll do : - Establish methodologies for quickly rolling out new data analysis capabilities for standalone data-driven products and services to support our associates using AI, ML, and LLMs. - Lead architecture and technical design discussions to ensure data science solutions align with the organization's strategic objectives. - Continuously improve models through experimentation and optimization techniques. - Analyze unstructured text data to discover insights and patterns using advanced data science techniques, including machine learning and natural language processing. - Use a combination of quantitative (science) and qualitative (art) methodologies to prioritize AI initiatives. - Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions. Evangelize new technologies and drive their adoption. - Create Data Science packages and APIs for use across the organization. - Mentor junior members of the team on effective technical practices and non-technical acumen. - Be accountable for the scalability, stability, and business adoption of data science solutions. What you'll need : - 7 - 9 years of experience in algorithms and statistics and experience in data mining, machine learning, deep learning and natural language processing. Ability to provision packages and APIs for production data science code. Must have : - Education qualification as graduate or postgraduate degree in Engineering or Data Science is required. - Experience in Machine learning models and techniques like NLP, BERT, Transformers, Deep learning. - Experience using LLMs (e.g., OpenAI, Cohere, Anthropic, Llama, etc) to deliver business outcomes. - Experience building Generative AI and Agentic AI solutions using LangChain, LangGraph, Langfuse, RAG, and prompt engineering. - Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions. Evangelize new technologies and drive their adoption. - Demonstrated ability to translate quantitative analysis into actionable business strategies. - Ability to work collaboratively across business, data science and technical stakeholders. Who you are : - Graduate/Postgraduate in BE/B tech, ME/MTech or MCA are preferred. - Excellent communication and prioritization skills. - Able to work independently or within a team proactively in a fast-paced AGILE-SCRUM environment. - Owns success - Takes responsibility for successful delivery of the solutions. - Ardent desire to improve upon their skills in software development, frameworks, and technologies. Don't meet every single requirement? We encourage you to apply anyway. You might just be the right candidate for this, or other roles. Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we've grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities - opportunities that may not even exist right now - for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. Gartner is the world authority on AI : At Gartner, you'll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You'll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes. It's an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that's reshaping the way we operate. If you're passionate about AI and want to be part of a team that's guiding the leaders who shape the world, Gartner is the place for you. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us.

Gartner - Lead Software Engineer - NLP/Generative AI 

Job Summary : The person in this role will be responsible for SAP Security help desk tickets. Other duties may include working with end users, supporting the functional teams, and assisting with audit projects. Responsibilities : - Handle day-to-day SAP Security help desk tickets. - Provision SAP user accounts (set up new, change, and remove). - Communicate effectively with the IT team and business users regarding Security issues. - Coordinate collection and preparation of Security data for auditors. - Develop documentation such as work instructions, policies, and procedures. - Ensure attention to detail and accuracy in all tasks. - Ability to function in a fast-paced environment, quickly and efficiently. Required Skills : - 6 - 12 years of experience working with SAP ECC Security. - Understanding of Role-based access control concept and policy. - Familiarity with SAP S/4 HANA security. - Knowledge of setting up SAP users. - Good customer service acumen and interpersonal skills. - Proficient with Microsoft Office tools. - Basic understanding of audit procedures. - Excellent oral and written communication skills. - GRC Knowledge would add value. Educational Qualification : - Bachelors degree in a related field of study. - Technical certificate, education, or work experience may be substituted in lieu of education as determined by Management.

Medline - Senior Analyst - SAP Security 

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