About the Role : We are seeking an experienced MLOps Engineer to lead the deployment, scaling, and performance optimization of open-source Generative AI models on cloud infrastructure. Youll work at the intersection of machine learning, DevOps, and cloud engineering to help productize and operationalize large-scale LLM and diffusion models. Key Responsibilities : - Design and implement scalable deployment pipelines for open-source Gen AI models (LLMs, diffusion models, etc. - Fine-tune and optimize models using techniques like LoRA, quantization, distillation, etc. - Manage inference workloads, latency optimization, and GPU utilization. - Build CI/CD pipelines for model training, validation, and deployment. - Integrate observability, logging, and alerting for model and infrastructure monitoring. - Automate resource provisioning using Terraform, Helm, or similar tools on GCP/AWS/Azure. - Ensure model versioning, reproducibility, and rollback using tools like MLflow, DVC, or Weights & Biases. - Collaborate with data scientists, backend engineers, and DevOps teams to ensure smooth production rollouts. Required Skills & Qualifications : - 5+ years of total experience in software engineering or cloud infrastructure. - 3+ years in MLOps with direct experience in deploying large Gen AI models. - Hands-on experience with open-source models (e.g., LLaMA, Mistral, Stable Diffusion, Falcon, etc. - Strong knowledge of Docker, Kubernetes, and cloud compute orchestration. - Proficiency in Python and familiarity with model-serving frameworks (e.g., FastAPI, Triton Inference Server, Hugging Face Accelerate, vLLM). - Experience with cloud platforms (GCP preferred, AWS or Azure acceptable). - Familiarity with distributed training, checkpointing, and model parallelism. Good to Have : - Experience with low-latency inference systems and token streaming architectures. - Familiarity with cost optimization and scaling strategies for GPU-based workloads. - Exposure to LLMOps tools (LangChain, BentoML, Ray Serve, etc. Why Join Us : - Opportunity to work on cutting-edge Gen AI applications across industries. - Collaborative team with deep expertise in AI, cloud, and enterprise software. - Flexible work environment with a focus on innovation and impact.

Noida

Valiance Solutions - Machine Learning Engineer - Valiance Solutions Models (5-7 yrs)

Key Responsibilities : Pre-Sales & Solution Design : - Collaborate with sales teams and Google Cloud to identify migration and modernization opportunities in greenfield accounts (on-premise or other cloud platforms like AWS/Azure). - Conduct technical discovery and assessment of customer workloads to determine feasibility, challenges, and best approaches for Google Cloud adoption. - Develop and deliver Proof of Concepts (PoCs) for clients, showcasing the value of Google Cloud infrastructure and services. - Create Bill of Materials (BoM) for Google Cloud services, including cost estimation and architectural recommendations. - Support the sales motion by conducting technical deep-dive sessions, architecture reviews, and demo presentations for customers. Cloud Migration & Modernization : - Lead end-to-end cloud migration projects, ensuring seamless transition from on-premise or AWS/Azure to Google Cloud. - Design and implement secure, scalable, and cost-optimized cloud architectures following best practices. - Leverage Google Cloud-native services like Anthos, GKE, BigQuery, Cloud Run, Cloud Functions, and Cloud SQL for application modernization. - Guide development and DevOps teams on CI/CD pipelines, infrastructure as code (Terraform), and automation frameworks for cloud-native deployments. - Optimize cloud environments for performance, reliability, security, and cost-efficiency. Stakeholder Collaboration & Delivery Leadership : - Work closely with Google Cloud teams, Valiance's internal engineering teams, and client stakeholders to ensure smooth project execution. - Provide technical leadership and mentoring to internal teams and customers on best practices in cloud architecture and migration strategies. - Drive cloud adoption initiatives by creating whitepapers, best practices documentation, and case studies for client success stories. - Troubleshoot and resolve complex cloud infrastructure challenges, ensuring minimal disruption and maximum efficiency. Required Skills & Qualifications : - 8+ years of overall IT experience, with at least 3 years working on Google Cloud. - Strong hands-on experience in Google Cloud services, including Compute Engine, GKE, Cloud SQL, BigQuery, Cloud Storage, Cloud Functions, and IAM security policies. - Expertise in cloud migration strategies (lift-and-shift, re-platforming, and re-architecting applications for the cloud). - Strong knowledge of networking, security, IAM, and compliance frameworks on Google Cloud. - Experience with Terraform, Infrastructure as Code (IaC), and CI/CD pipelines. - Hands-on experience in containers (Docker, Kubernetes, Anthos) and microservices architecture. - Experience working with DevOps methodologies and tools (Jenkins, GitOps, Helm, etc. - Familiarity with hybrid cloud and multi-cloud strategies. - Strong understanding of cost optimization techniques and FinOps practices on Google Cloud. - Excellent communication, client-facing, and stakeholder management skills. - Google Cloud Professional Cloud Architect certification is a plus

Valiance Solutions - Senior Cloud Architect - Google Cloud Platform (8-10 yrs)

Key Responsibilities : - Data Analysis : Conduct in-depth data analysis to identify trends, patterns, and anomalies in demand forecasting data for retail, fashion, and CPG sectors. - Model Utilization : Leverage existing pre-trained forecasting models, optimizing their performance by incorporating a nuanced understanding of data points and improving model outcomes based on data insights. - Interpretation & Communication : Interpret model results and explain outcomes in simple, actionable terms for business stakeholders, ensuring clarity and relevance. - Insights Generation : Develop insights that guide business decisions, aiming for highly accurate forecasting outcomes to meet business requirements. - Collaboration : Work closely with cross-functional teams, including business stakeholders and analysts, to ensure forecasting outputs align with business objectives and provide real-world value. - Continuous Improvement : Identify opportunities to improve model performance through better data usage and fine-tuning, rather than new model development. Required Skills & Qualifications : - Experience : 3-5 years of experience in data science or a related field, specifically in demand forecasting for retail, fashion, or CPG industries. - Technical Proficiency : Strong skills in data analysis, data visualization, and working with pre-trained ML models. - Proficiency in Python, and SQL is preferred. - Business Focus : Strong orientation towards solving business problems rather than a pure focus on machine learning algorithms. - Communication Skills : Ability to clearly communicate insights and forecast results to non-technical stakeholders in simple, understandable language. - Problem Solving : Demonstrated ability to interpret data, uncover actionable insights, and suggest practical solutions for business needs. - Detail-Oriented : Thorough attention to detail, ensuring accuracy in forecasting and relevance of insights. - Educational Background : Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field

Bangalore

Valiance Solutions - Data Scientist - Python/SQL (3-5 yrs)

Responsibilities : - DevOps and Cloud Automation : Implement and maintain automation pipelines for the deployment of AI/ML-based applications on cloud platforms (e.g., AWS, Azure, GCP) using Docker containers. - Application Deployment : Collaborate with the development teams to design and execute efficient and reliable application deployment processes. - Infrastructure Automation : Automate infrastructure provisioning and configuration tasks, including VPC setup, server configuration, and network endpoint configuration. - Containerization : Assist in containerizing applications using Docker, ensuring scalability, portability, and security. - Continuous Integration/Continuous Deployment (CI/CD) : Implement and enhance CI/CD pipelines to streamline the application deployment process. - Monitoring and Logging : Set up monitoring and logging solutions to ensure the smooth functioning of deployed applications and identify performance bottlenecks. - Security : Work closely with the security team to implement best practices for securing cloud-based applications and infrastructure. - Troubleshooting and Support : Collaborate with cross-functional teams to troubleshoot and resolve any infrastructure or deployment-related issues. - Documentation : Maintain detailed documentation of infrastructure and deployment processes, ensuring knowledge sharing and seamless handover. Requirements : - Educational Background : Bachelor's degree in Computer Science, Engineering, or a related field. - Experience : 3 to 5 years of relevant experience in DevOps, cloud automation, and application deployment. - DevOps Tools : Proficiency with popular DevOps tools and technologies such as Git, Jenkins, Ansible, Terraform, Kubernetes, etc. - Cloud Platforms : Strong hands-on experience with at least one major cloud platform (e.g., AWS, Azure, GCP) and familiarity with cloud services such as EC2, S3, VPC, etc. - Docker : Solid understanding and practical experience with Docker containerization for application deployment. - AI/ML and Models : Familiarity with AI/ML concepts and experience in deploying applications that use pre-trained or custom models will be advantageous. - Scripting and Automation : Proficient in scripting languages such as Python, Bash, or Shell for automating tasks. - Networking : Knowledge of networking concepts and experience in configuring network endpoints and VPCs. - Problem-Solving : Strong analytical and problem-solving skills to diagnose and resolve technical issues. - Communication : Excellent communication and collaboration skills to work effectively with cross-functional teams and clients. - Cloud Certifications : Relevant cloud certifications (e.g., AWS Certified DevOps Engineer, Azure DevOps Engineer) will be a plus. This is a fantastic opportunity to join a dynamic team and work on cutting-edge AI/ML-based applications in a fast-paced and collaborative environment. If you are passionate about DevOps, cloud automation, and AI/ML technologies, and have the drive to deliver high-quality results, we encourage you to apply

Valiance Solutions - Software Engineer - DevOps & Cloud Automation (3-5 yrs)

Job Description : Responsibilities : - Define and articulate the long-term vision and strategy for complex technical products. - Conduct in-depth market research, competitive analysis, and technical feasibility assessments. - Develop and maintain detailed product roadmaps, prioritizing features based on technical feasibility, business value, and customer impact. - Lead cross-functional teams (engineering, design, QA) to deliver high-quality technical products. - Define detailed technical requirements and specifications, ensuring clarity and alignment across teams. - Manage the product backlog, prioritizing features and user stories in an Agile environment. - Drive the implementation of complex technical solutions, ensuring adherence to architectural standards and best practices. - Define and track key technical metrics and performance indicators to measure product success. - Analyze complex technical data and identify opportunities for product optimization and improvement. - Conduct A/B testing and other experiments to validate hypotheses and drive data-informed decisions. - Understand and explain technical constraints, and communicate technical implications to stakeholders. - Effectively communicate complex technical concepts to both technical and non-technical stakeholders. - Collaborate with engineering teams to resolve technical challenges and ensure timely delivery. - Build strong relationships with external partners and vendors, managing technical integrations and dependencies. - Act as a technical product evangelist, promoting the product internally and externally. - Deeply understand customer needs and technical requirements through user research, feedback, and data analysis. - Translate customer feedback into actionable technical product improvements. - Advocate for the customer within the organization, ensuring that technical product decisions are aligned with customer needs. Qualifications : Experience : - 6-9 years of experience in product management, with a strong focus on technical products. - Proven track record of successfully launching and managing complex technical products. - Experience working with engineering teams and managing technical dependencies. Technical Skills : - Strong understanding of software development principles and technologies. - Experience with cloud platforms (AWS, Azure, GCP) and related technologies. - Familiarity with API design, microservices architecture, and data management. - Proficiency in data analysis and visualization tools. - Understanding of CI/CD pipelines and DevOps practices. Education : Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field

Delhi NCR

Valiance Solutions - Senior Product Manager - Strategy & Roadmap (6-9 yrs)

About the Role : We are looking for a skilled Full Stack Engineer with expertise in React, Python, SQL/NoSQL, and (AWS/GCP/Azure) to join our engineering team. The ideal candidate will have a strong background in building scalable web applications and cloud-based solutions. This role requires end-to-end development capabilities, from frontend UI implementation to backend APIs and database management. Key Responsibilities : - Design, develop, and maintain full-stack applications using React, Python, and SQL/No-SQL DB's. - Develop RESTful APIs and integrate third-party services. - Build responsive and user-friendly web interfaces using React.js. - Implement backend logic and business processes using Python (Django or Flask preferred). - Design and optimize relational databases using SQL (PostgreSQL, MySQL, or similar). - Deploy, manage, and scale applications on AWS/Azure/GCP. - Ensure application security, performance, and maintainability. - Work with DevOps teams for CI/CD, logging, and monitoring. - Collaborate with designers, product managers, and other engineers to deliver high-quality software. - Troubleshoot, debug, and optimize code for performance. Requirements : - 4+ years of experience in full-stack development. - Strong proficiency in React.js for frontend development. - Expertise in Python (Django/Flask/FastAPI) for backend development. - Hands-on experience with SQL databases (PostgreSQL, MySQL, or similar). - Experience with AWS/GCP/Azure. - Knowledge of RESTful APIs, microservices architecture, and authentication mechanisms. - Familiarity with version control tools (Git/GitHub/GitLab). - Strong understanding of software development best practices, testing, and deployment. - Experience with containerization (Docker, Kubernetes) is a plus. - Strong problem-solving skills and ability to work in an agile environment. Preferred Skills : - Knowledge of GraphQL and WebSockets. - Experience with NoSQL databases (MongoDB, DynamoDB). - Exposure to serverless architecture and event-driven programming. - Understanding of CI/CD pipelines and infrastructure as code (Terraform, CloudFormation). - Strong communication and collaboration skills.

Valiance Solutions - Full Stack Engineer - Python/React.js (4-6 yrs)

Job Description : We are seeking a talented and motivated Software Engineer with expertise in DevOps tools and cloud automation to join our team. As a Software Engineer, you will play a crucial role in automating the IT infrastructure and application deployment processes for AI/ML-based applications utilizing pre-trained and custom models. The primary focus will be on deploying applications on cloud platforms using Docker containers and handling various infrastructure automation tasks, such as configuring VPCs, attaching disks to servers, and setting up network endpoints. Responsibilities : - DevOps and Cloud Automation : Implement and maintain automation pipelines for the deployment of AI/ML-based applications on cloud platforms (e.g., AWS, Azure, GCP) using Docker containers. - Application Deployment : Collaborate with the development teams to design and execute efficient and reliable application deployment processes. - Infrastructure Automation : Automate infrastructure provisioning and configuration tasks, including VPC setup, server configuration, and network endpoint configuration. - Containerization : Assist in containerizing applications using Docker, ensuring scalability, portability, and security. - Continuous Integration/Continuous Deployment (CI/CD) : Implement and enhance CI/CD pipelines to streamline the application deployment process. - Monitoring and Logging : Set up monitoring and logging solutions to ensure the smooth functioning of deployed applications and identify performance bottlenecks. - Security : Work closely with the security team to implement best practices for securing cloud-based applications and infrastructure. - Troubleshooting and Support : Collaborate with cross-functional teams to troubleshoot and resolve any infrastructure or deployment-related issues. - Documentation : Maintain detailed documentation of infrastructure and deployment processes, ensuring knowledge sharing and seamless handover. Requirements : - Educational Background : Bachelor's degree in Computer Science, Engineering, or a related field. - Experience : 3 to 5 years of relevant experience in DevOps, cloud automation, and application deployment. - DevOps Tools : Proficiency with popular DevOps tools and technologies such as Git, Jenkins, Ansible, Terraform, Kubernetes, etc. - Cloud Platforms : Strong hands-on experience with at least one major cloud platform (e.g., AWS, Azure, GCP) and familiarity with cloud services such as EC2, S3, VPC, etc. - Docker : Solid understanding and practical experience with Docker containerization for application deployment. - AI/ML and Models : Familiarity with AI/ML concepts and experience in deploying applications that use pre-trained or custom models will be advantageous. - Scripting and Automation : Proficient in scripting languages such as Python, Bash, or Shell for automating tasks. - Networking : Knowledge of networking concepts and experience in configuring network endpoints and VPCs. - Problem-Solving : Strong analytical and problem-solving skills to diagnose and resolve technical issues. - Communication : Excellent communication and collaboration skills to work effectively with cross-functional teams and clients. - Cloud Certifications : Relevant cloud certifications (e.g., AWS Certified DevOps Engineer, Azure DevOps Engineer) will be a plus. This is a fantastic opportunity to join a dynamic team and work on cutting-edge AI/ML-based applications in a fast-paced and collaborative environment. If you are passionate about DevOps, cloud automation, and AI/ML technologies, and have the drive to deliver high-quality results, we encourage you to apply.

Job Title : Full Stack Developer Location : Remote About Us : Valiance is a global AI and Data Analytics firm dedicated to empowering organizations through innovative technology solutions for digital transformation. Job Description : We are seeking a skilled Full Stack Developer with 3-7 yrs of exp, proficient in both front-end and back-end development. The ideal candidate will have experience in designing, developing, and maintaining fully functional web applications. Key Responsibilities : - Design, develop, and maintain full-stack applications using React, Python, and SQL. - Develop RESTful APIs and integrate third-party services. - Build responsive and user-friendly web interfaces using React.js. - Implement backend logic and business processes using Python (Django or Flask preferred). - Design and optimize relational databases using SQL (PostgreSQL, MySQL, or similar). - Deploy, manage, and scale applications on AWS (EC2, Lambda, S3, RDS, API Gateway, etc.). - Ensure application security, performance, and maintainability. - Work with DevOps teams for CI/CD, logging, and monitoring. - Collaborate with designers, product managers, and other engineers to deliver high-quality software. - Troubleshoot, debug, and optimize code for performance. Requirements : - 3+ years of experience in full-stack development. - Strong proficiency in React.js for frontend development. - Expertise in Python (Django/Flask/FastAPI) for backend development. - Hands-on experience with SQL databases (PostgreSQL, MySQL, or similar). - Experience with AWS cloud services such as EC2, Lambda, S3, RDS, API Gateway, and IAM. - Knowledge of RESTful APIs, microservices architecture, and authentication mechanisms. - Familiarity with version control tools (Git/GitHub/GitLab). - Strong understanding of software development best practices, testing, and deployment. - Experience with containerization (Docker, Kubernetes) is a plus. - Strong problem-solving skills and ability to work in an agile environment. Preferred Skills : - Knowledge of GraphQL and WebSockets. - Experience with NoSQL databases (MongoDB, DynamoDB). - Exposure to serverless architecture and event-driven programming. - Understanding of CI/CD pipelines and infrastructure as code (Terraform, CloudFormation). - Strong communication and collaboration skills.

Valiance Solutions - Full Stack Developer - Python/React.js (3-7 yrs)

Job role : Full Stack Developer Location : Noida/Bangalore/Hybrid About the Role : We are looking for a skilled Full Stack Engineer with expertise in React.js, Python/Node.js, SQL, and Azure to join our engineering team. The ideal candidate will have a strong background in building scalable web applications and cloud-based solutions. This role requires end-to-end development capabilities, from frontend UI implementation to backend APIs and database management. Key Responsibilities : - Design, develop, and maintain full-stack applications using React.js, Python/Node.js, and SQL. - Develop RESTful APIs and integrate third-party services. - Build responsive and user-friendly web interfaces using React.js. - Implement backend logic and business processes using Python (Django) or Node.js - Design and optimize relational databases using SQL (PostgreSQL, MySQL, or similar). - Deploy, manage, and scale applications on AWS/Azure (EC2, Lambda, S3, RDS, API Gateway, etc.). - Ensure application security, performance, and maintainability. - Work with DevOps teams for CI/CD, logging, and monitoring. - Collaborate with designers, product managers, and other engineers to deliver high-quality software. - Troubleshoot, debug, and optimize code for performance. Requirements : - 3+ years of experience in full-stack development. - Strong proficiency in React.js for frontend development. - Expertise in Python (Django) OR Node.js for backend development. - Hands-on experience with SQL databases (PostgreSQL, MySQL, or similar). - Experience with AWS cloud OR Azure - Knowledge of RESTful APIs, microservices architecture, and authentication mechanisms. - Familiarity with version control tools (Git/GitHub/GitLab). - Strong understanding of software development best practices, testing, and deployment. - Experience with containerization (Docker, Kubernetes) is a plus. - Strong problem-solving skills and ability to work in an agile environment.

Valiance Solutions - Full Stack Developer - Python/React.js (3-6 yrs)

About Us : Valiance is a global AI & Data analytics firm helping clients build cutting-edge technology solutions for digital transformation. We work with some of the marquee brands across India, US and APAC to build transformative solutions for Credit Risk, Fraud, Predictive Maintenance, Quality Inspection, Data lake, IOT analytics etc. Our team comprises 120+ professionals across Machine Learning, Data Engineering & Cloud expertise Roles and Responsibilities : - Work closely with the VP of Products and UX designers to understand the product vision and design philosophy. - Talk to multiple stakeholders within the organization to understand their problems and help them scale their operations. - Work with our Technical Architects to design and architect our customer facing as well as internal web applications - end to end. - Help stabilize and scale our existing systems. Help design the next generation systems. - Build robust RESTful APIs that serve data and insights to DataWeave and other products. - Design user interaction workflows on our products and integrating them with data APIs - Constantly think scale, think automation. Measure everything. Optimize proactively. - Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Skills and Requirements : - 3-5 years of experience building and scaling Web Applications and APIs. - Have a strong grasp of CS fundamentals and excellent problem solving abilities. Have a good understanding of software design principles and architectural best practices. - Be passionate about writing code and have experience coding in multiple languages - Experience building applications with PHP and Javascript essential. Experience with Python is a bonus. - In depth understanding of relational databases; hands on experience writing and optimizing non-trivial MySQL queries. - It's a bonus if you have worked with other storage and indexing technologies such as Redis, MongoDB, Solr, etc. - Working knowledge of building websites and apps. Good understanding of integration complexities and dependencies. - Use the command line like a pro. Be proficient in Git and other essential software development tools. - Exposure to one or more centralized logging, monitoring, and instrumentation tools, such as Kibana, Graylog, StatsD, Datadog etc will help. - Working knowledge linux server administration as well as the AWS ecosystem is desirable. - Be able to argue convincingly why feature X of language Y rocks/sucks, or why a certain design decision is right/wrong, and so on. - Be a self-starter-someone who thrives in fast paced environments with minimal 'management'. It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.

Valiance Solutions - Full Stack Developer - Python (3-5 yrs)

About Us : Valiance is a global AI & Data analytics firm helping clients build cutting-edge technology solutions for digital transformation. We work with some of the marquee brands across India, US and APAC to build transformative solutions for Credit Risk, Fraud, Predictive Maintenance, Quality Inspection, Data lake, IOT analytics etc. Our team comprises 120+ professionals across Machine Learning, Data Engineering & Cloud expertise We are looking for a Data Scientist with a robust background in forecasting. The candidate should be skilled in Python, and bring at least 2-5 years of experience in Data Scientist, preferably from a Tier 1 college. This role demands a blend of technical prowess, analytical acumen, and a passion for data-driven problem solving. Key Responsibilities : - Data Analysis and Forecasting : Utilize your forecasting experience, to analyze complex data sets and predict future trends. - Programming Skills : Employ your proficiency in Python and PySpark for developing and executing algorithms for data processing and analysis. - Model Development and Evaluation : Construct predictive models using machine learning algorithms, continuously evaluating and refining them. - Data Visualization and Reporting : Develop insightful visualizations and reports to convey findings to stakeholders effectively. - Collaboration and Communication : Engage with various teams to understand business needs and deliver data-centric solutions. Qualifications : - Education : Bachelor's or Master's degree from a Tier 1 college in a relevant field (e.g., Computer Science, Statistics,m athematics etc.). - Experience : 1-5 years in a data science role, with experience in demand forecasting,Time Series, demand planning - Technical Skills : Strong command over Python and PySpark, along with familiarity with SQL, machine learning libraries, and data visualization. - Analytical Skills : Exceptional analytical and problem-solving skills with a keen eye for detail. - Communication Skills : Outstanding verbal and written communication abilities. Preferred Skills : - Experience with big data technologies and cloud platforms. - Deep understanding of advanced statistical techniques and concepts Personal Skills : - Strong communication skills, both written and verbal - Ability to manage stakeholders' expectations and work in a high-pressure environment. - Demonstrate strong ownership & commitment to the cause of customer success. - A team player capable of high performance, flexibility in a dynamic working environment and the ability to lead

Valiance Solutions - Data Scientist - Python/PySpark (2-5 yrs)

Company Overview : We are a dynamic and innovative technology company leveraging cutting-edge cloud technologies and generative AI to create groundbreaking solutions that address complex challenges across various industries. We are seeking a skilled AI Engineer to to drive the architecture and development of our AI/ML applications, contributing to our growth and success. Role Overview : You will collaborate closely with cross-functional teams to design, develop, and deploy innovative solutions that harness the power of AI and generative technologies . Your technical expertise, leadership skills, and passion for pushing boundaries will be instrumental in achieving our goals. Responsibilities : - Lead the design, architecture, and development of Gen AI applications using cloud technologies. - Collaborate with product managers, software engineers, and end user to define application requirements, user experiences, and technical specifications. - Drive technical excellence, code quality, and best practices within the team. - Stay abreast of the latest advancements in Gen AI, cloud technologies, and software engineering trends, and incorporate relevant technologies into the development process. - Collaborate with teams to ensure seamless deployment, scaling, and operation of applications in cloud environments. - Actively participate in code reviews, providing constructive feedback and promoting code quality standards. - Lead performance optimization efforts and address technical challenges to ensure the reliability and scalability of Gen AI applications. - Contribute to the creation of technical documentation, including architectural diagrams, design specifications, and user guides. Qualifications : - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Must have 2+ years of experience with proven track record of architecting and developing software applications, preferably chatbots, information retrieval , enterprise search applications. - Experience with extracting and organizing information from unstructured documents like pdf, word, text files and structured datasets. - Experience working on information retrieval applications based on natural language queries. - You have knowledge or experience working with vector databases. - Strong programming skills in languages such as Python. - Understanding of LLM's and prompt engineering is desired with 6 to 12 months of hands on experience. - Experience with deployment of Gen AI applications on cloud using CI/CD tools. - Excellent problem-solving skills and ability to think critically and analytically. - Strong communication and collaboration skills, with the ability to work effectively across cross-functional teams. - Demonstrated ability to manage multiple priorities and meet deadlines in a fast-paced environment.

Valiance Solutions - Generative AI Engineer (2-5 yrs)

About Us : Valiance is a global AI & Data analytics firm helping clients build cutting-edge technology solutions for digital transformation. We work with some of the marquee brands across India, US and APAC to build transformative solutions for Credit Risk, Fraud, Predictive Maintenance, Quality Inspection, Data lake, IOT analytics etc. Our team comprises 120+ professionals across Machine Learning, Data Engineering & Cloud expertise Required Technical and Professional Expertise : As an LLMOps Engineer, you will play a critical role in the development, deployment, and maintenance of large language models (LLMs) in production environments. Your work will ensure that our models are scalable, efficient, and meet the highest performance standards. You will collaborate with data scientists, ML engineers, and software developers to optimize LLM pipelines, manage model lifecycle, and ensure robust monitoring and governance. Key Responsibilities : - Design, implement, and manage LLM workflows for training and inference. - Collaborate with cross-functional teams to understand model requirements and integrate LLM solutions. - Monitor model performance, conduct A/B testing, and implement improvements based on user feedback and analytics. - Maintain and optimize cloud-based infrastructure for scalability and cost-efficiency. - Develop and implement best practices for version control, testing, and deployment of LLMs. - Automate repetitive tasks related to model training, deployment, and monitoring. - Provide technical support and troubleshooting for deployed models and systems. - Stay updated on the latest trends and advancements in LLM technologies and ML operations. Qualifications : - Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred. - 1+ years of experience in machine learning operations (MLOps), with a strong focus on LLMs. - Proficiency in programming languages such as Python and familiarity with ML frameworks like TensorFlow, PyTorch, or Hugging Face. - Experience with containerization and orchestration tools, such as Docker and Kubernetes. - Knowledge of cloud platforms (AWS, Azure, GCP) and related tools for deploying and managing ML models. - Strong understanding of data pipelines, ETL processes, and data management for training LLMs. - Familiarity with version control systems (e.g., Git) and CI/CD workflows. - Excellent problem-solving skills and ability to work collaboratively in a team environment. Preferred Skills : - Experience with NLP tasks and relevant libraries (e.g., spaCy, NLTK). - Understanding of model interpretability and ethical considerations in AI. - Familiarity with monitoring tools for model performance and operational insights (e.g., Prometheus, Grafana).

Valiance Solutions - LLMOps Engineer (1-4 yrs)

Job Description : Responsibilities : - Define and articulate the long-term vision and strategy for complex technical products. - Conduct in-depth market research, competitive analysis, and technical feasibility assessments. - Develop and maintain detailed product roadmaps, prioritizing features based on technical feasibility, business value, and customer impact. - Lead cross-functional teams (engineering, design, QA) to deliver high-quality technical products. - Define detailed technical requirements and specifications, ensuring clarity and alignment across teams. - Manage the product backlog, prioritizing features and user stories in an Agile environment. - Drive the implementation of complex technical solutions, ensuring adherence to architectural standards and best practices. - Define and track key technical metrics and performance indicators to measure product success. - Analyze complex technical data and identify opportunities for product optimization and improvement. - Conduct A/B testing and other experiments to validate hypotheses and drive data-informed decisions. - Understand and explain technical constraints, and communicate technical implications to stakeholders. - Effectively communicate complex technical concepts to both technical and non-technical stakeholders. - Collaborate with engineering teams to resolve technical challenges and ensure timely delivery. - Build strong relationships with external partners and vendors, managing technical integrations and dependencies. - Act as a technical product evangelist, promoting the product internally and externally. - Deeply understand customer needs and technical requirements through user research, feedback, and data analysis. - Translate customer feedback into actionable technical product improvements. - Advocate for the customer within the organization, ensuring that technical product decisions are aligned with customer needs. Qualifications : Experience : - 6-9 years of experience in product management, with a strong focus on technical products. - Proven track record of successfully launching and managing complex technical products. - Experience working with engineering teams and managing technical dependencies. Technical Skills : - Strong understanding of software development principles and technologies. - Experience with cloud platforms (AWS, Azure, GCP) and related technologies. - Familiarity with API design, microservices architecture, and data management. - Proficiency in data analysis and visualization tools. - Understanding of CI/CD pipelines and DevOps practices. Education : Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field

Delhi

Job Description : Responsibilities : - Develop comprehensive project plans, including scope, schedule, budget, and resource allocation, using project management tools (e.g., Jira, Asana, Microsoft Project). - Define project milestones, deliverables, and success criteria. - Manage project risks and issues, proactively identifying and implementing mitigation strategies. - Track project progress and provide regular status updates to stakeholders. - Utilize agile or waterfall methodologies as appropriate for project needs. - Collaborate closely with engineering, development, and QA teams to ensure alignment and effective communication. - Understand technical requirements and translate them into actionable tasks. - Facilitate technical discussions and resolve technical roadblocks. - Manage dependencies between technical teams and ensure timely delivery of components. - Work with version control systems such as Git. - Understand and manage cloud based deployments and infrastructure. - Communicate effectively with internal and external stakeholders, including clients, vendors, and senior management. - Build and maintain strong relationships with stakeholders. - Manage stakeholder expectations and ensure alignment on project goals. - Present project updates and reports to stakeholders. - Identify and implement process improvements to enhance project efficiency and effectiveness. - Document project processes and best practices. - Contribute to the development of project management methodologies and standards. - Ensure project deliverables meet quality standards and requirements. - Coordinate testing and validation activities. - Manage change requests and ensure proper documentation. Required Skills & Qualifications : - Bachelor's degree in Computer Science, Engineering, or a related technical field. - 2-4 years of experience as a Project Manager, preferably in a technology-focused environment. - Strong understanding of software development lifecycle (SDLC) and agile/waterfall methodologies. - Proficiency in project management tools (Jira, Asana, Microsoft Project). - Excellent communication, interpersonal, and problem-solving skills. - Ability to manage multiple projects simultaneously and prioritize tasks effectively. - Experience with version control systems (Git). - Familiarity with cloud platforms (AWS, Azure, GCP) is a plus. - Basic understanding of database systems and API's. - Experience with ticketing systems such as service now. - Understanding of CI/CD pipelines. Preferred Skills : - Project Management Professional (PMP) or Agile certifications (Scrum Master, Certified Scrum Product Owner). - Experience with specific technologies relevant to our industry (cloud computing, data analytics, web development). - Experience with scripting languages such as python. - Experience with containerization technologies such as docker and kubernetes.

Valiance Solutions - Project Manager (2-4 yrs)

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