ML Engineer Specialist (NLP/GenAI)
Vestas (company site, opens in a new tab)8+ yrsChennaiOn-siteDirect career pageEst. 25–45 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and scale generative AI (GenAI) and agentic systems capable of reasoning, planning, and executing complex tasks.
- Lead end-to-end delivery of GenAI initiatives including defining reusable design patterns, frameworks, and ensuring responsible AI adoption balancing performance, cost, reliability, and governance.
- Collaborate closely with product owners, ML engineers, application developers, and business SMEs to integrate GenAI capabilities into enterprise applications with human-in-the-loop and professional decision-making.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or similar.
- 8+ years of experience in AI/ML, software engineering, data or analytics focusing on digital solutions development.
- 5-8 years of core AI/ML solution development experience with specialization in NLP and applied GenAI systems.
- Practical experience with LLM ecosystems (e.g., OpenAI, Azure OpenAI), prompt engineering, RAG architectures, vector databases, API/microservices integration, and containerized environments.
Ideal Candidate Profile
- Strong expertise in architecting scalable, reliable GenAI systems emphasizing performance, cost, latency, and user experience.
- Demonstrated experience designing agentic workflows including planning, tool usage, memory management and multi-step reasoning pipelines.
- Effective collaborator with experience in global distributed teams, able to mentor and align cross-functional groups including AI/ML engineering, platform, and MLOps teams.