Lead ML Engineer – Classical ML & GenAI/RAG

Lead ML Engineer – Classical ML & GenAI/RAG at Jobgether scores 91 out of 100 on AI centrality, which makes it a Level 4 role on this board.

Remote (India)leadFull-time

AI in this role

rag

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead ML Engineer – Classical ML & GenAI/RAG based in India.

This is a hands-on technical leadership role focused on building, deploying, and supporting production-grade machine learning solutions. The primary focus is classical Machine Learning and Data Science, with responsibilities spanning model development, data preparation, feature engineering, validation, deployment, and continuous improvement. You will also bring recent experience with Generative AI, LLMs, and RAG applications to complement the core ML work. The role requires strong engineering discipline, including reusable Python and SQL development, automated pipelines, testing, monitoring, and reproducibility. You will work across ambiguous business and technical requirements while collaborating with engineers, data scientists, and business stakeholders. The position also provides opportunities to guide other ML professionals and contribute directly to reliable, scalable AI solutions.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Rag

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: Rag. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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