ML Engineer - 2
Weekday (company site, opens in a new tab)3–5 yrsBengaluruOn-siteDirect career pageEst. 15–30 LPA
Posted on 19 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own and build production-grade ML/AI systems focused on personalization, long-term user interaction, and conversational AI at scale.
- Develop and optimize LLM, RAG, conversational AI, and agentic workflows integrating structured domain knowledge like astrology.
- Collaborate cross-functionally to ship impactful AI-driven features that improve user intelligence and engagement.
Minimum Requirements
- 3-5 years of experience in ML, Applied ML, NLP, or Generative AI engineering.
- Proficient in Python programming and strong software engineering fundamentals.
- Hands-on experience deploying ML/AI systems to production and working with LLMs, RAG, embeddings, vector search, or conversational AI.
- Strong understanding of ML fundamentals, system design, scalability, cloud infrastructure, and evaluation metrics.
Ideal Candidate Profile
- Experienced in building end-to-end ML systems with ownership of design, build, evaluation, and production.
- Background in personalization or recommendation systems relating to conversational AI or LLMs.
- Comfortable working in fast-paced startups focused on AI products that interact with large-scale, longitudinal user data for deep personalization.