Senior Associate - AI - ML Engineer
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Job Description
Structured overview of role & requirementsAbout This Role
Lead design and deployment of scalable, reliable, production-grade Generative AI solutions including complex end-to-end architectures and AI agents.
Build and maintain Retrieval-Augmented Generation (RAG) pipelines integrating embedding models and vector DBs for context-aware LLM-powered responses.
Establish rigorous ML model evaluation frameworks and implement observability systems to monitor production AI system performance and reliability.
Minimum Requirements
Total work experience: 9 to 15 years (5+ years specifically in AI/ML engineering roles)
Experience with Generative AI: building and deploying RAG pipelines, prompt engineering, LLM fine-tuning using frameworks like LangChain or LlamaIndex.
Proficiency in Python, experience with LLM APIs (OpenAI, Anthropic, Hugging Face) and vector databases (Pinecone, Weaviate, FAISS).
Location requirement: Mumbai or Pune, India
Ideal Candidate Profile
Senior-level AI/ML engineer experienced in operationalizing complex generative AI systems within enterprise or large-scale environments.
Strong cross-functional collaborator who can translate business needs into robust, scalable AI architectures aligned with organizational goals.
Expertise in state-of-the-art fine-tuning methods (SFT, RLHF, LoRA/QLoRA) and production monitoring practices to ensure model performance and cost-effectiveness.