| Job Title | Senior AI-ML Engineer |
|---|---|
| Category | IT |
| Location | Pune, Chennai, Bengaluru |
| Company | Indovation Lab |
| Description | Lead AI Data Engineer / Senior AI-ML Engineer (GenAI) Experience: 7-9 Years Location: Bangalore/ Pune/ Chennai Employment Type: Full-Time/ C2H Role Overview We are looking for a Lead AI Data Engineer / Senior AI-ML Engineer to design, build, and deploy enterprise-grade AI and Generative AI solutions across AWS and Azure cloud platforms. This role requires a strong mix of hands-on engineering, AI/ML architecture, and production deployment experience, with a focus on LLMs, RAG pipelines, AI agents, and cloud-native AI workflows. You will work closely with business and engineering stakeholders to translate complex problems into scalable, secure, and measurable AI solutions. Key Responsibilities AI & GenAI Engineering Design and implement end-to-end AI/ML and Generative AI solutions in cloud environments Build and deploy RAG (Retrieval-Augmented Generation) pipelines, including: Prompt engineering Vector database design Embedding strategies Develop AI workflows and agent-based systems using modern orchestration frameworks Integrate LLMs into enterprise applications with focus on performance, reliability, and safety Cloud Platforms & Architecture Architect and deploy AI solutions using: AWS: Amazon Bedrock, SageMaker, Lambda, DynamoDB, OpenSearch Azure: Azure OpenAI, Azure ML, Azure Cognitive Services, Cognitive Search Implement serverless and containerized AI workloads using ECS / AKS Ensure scalability, fault tolerance, and cost efficiency of AI systems MLOps, Monitoring & Governance Implement model monitoring, logging, and performance tracking in production Apply model evaluation, fine-tuning strategies, and inference optimization Address AI safety, risk management, and compliance requirements Ensure strong cloud security, IAM, RBAC, and enterprise governance standards Engineering & Collaboration Write clean, production-ready Python code using modern ML libraries and APIs Integrate AI systems into CI/CD pipelines Collaborate with data, backend, and platform teams Translate business objectives into measurable AI outcomes Required Skills & Experience Core Experience 7-9 years of overall engineering experience 3-5 years of hands-on experience building AI / ML solutions Strong background in software and data architecture with AI/ML systems AI & GenAI Expertise Hands-on experience with LLMs in cloud environments Strong understanding of: RAG architectures Prompt engineering techniques Vector databases Familiarity with AI agent orchestration frameworks (e.g., LangChain, Semantic Kernel, AWS Agent Framework) Cloud & Engineering Proven experience across AWS and Azure AI services Strong proficiency in Python Experience with: Serverless architectures Containerization (ECS, AKS) CI/CD pipelines in AWS/Azure Security & Compliance Solid understanding of: Cloud security best practices Identity and access management (IAM, RBAC) Enterprise compliance requirements Nice to Have / Preferred Qualifications Experience with fine-tuning and evaluation of GenAI models Exposure to AI safety, risk mitigation, and governance frameworks Ability to lead solutioning discussions and guide architectural decisions Strong communication skills to bridge business and technical teams |
| Salary | 25-40 Lacs P.A. |
| Last Date | 2026-02-05 00:00:00 |
| Apply Link | Click Here |
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