Machine Learning Engineer - 2
Weekday (company site, opens in a new tab)3–5 yrsBengaluruOn-siteDirect career pageEst. 12–25 LPA
Posted on 19 Sept
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Job description
Structured overview of role & requirements
About This Role
- Build and own production-grade ML/AI systems end-to-end focused on personalization, memory, recommendations, and user intelligence.
- Develop and optimize LLM orchestration, retrieval augmented generation, conversational AI, and agentic workflows with a focus on quality, latency, and cost.
- Collaborate with Product and Backend teams to ship impactful features at scale combining structured domain intelligence with ML and LLM reasoning.
Minimum Requirements
- 3-5 years of experience in Machine Learning, Applied ML, NLP, or Generative AI engineering.
- Strong Python programming and software engineering fundamentals.
- Hands-on experience with LLMs, RAG, embeddings, vector search, or conversational AI and production deployment of ML/AI systems.
- Strong understanding of ML fundamentals, system design, scalability, APIs, evaluation, and cloud platforms.
Ideal Candidate Profile
- Experience working at the intersection of AI personalization and human relationship modeling in consumer-facing products.
- Proven ability to own end-to-end ML system design, build, evaluation, and production deployment with operational responsibility.
- Technical depth in large language models, retrieval techniques, and conversational AI within rapidly scaling B2C environments.