Requirements
- 4–5 years of experience as an ML Engineer or Applied Scientist in production
- Strong Python skills (FastAPI / Flask), with PyTorch or TensorFlow
- Proficient in building data pipelines and deploying ML systems
- Experience with LLMs, embeddings, RAG systems, and vector DBs (PGVector / Postgres preferred)
- Hands-on with multiple LLM providers (OpenAI, Anthropic, Google, open-source)
- Knowledge of containerization and deployment (Docker, Kubernetes, AWS / GCP, CI / CD)
- Bonus : Familiarity with LangGraph / LangChain, vLLM, Ray, LLM eval tools, or event-driven systems
Responsibilities
Build and scale ML pipelines for Nova's AI teammatesImplement agentic AI workflows with LLMs and orchestration frameworksDesign and optimize RAG pipelines for performance and accuracyBuild connectors to integrate AI with external systemsFine-tune models for domains like finance, legal, and taxMonitor model performance, optimize for cost, latency, and reliabilityLead best practices for scalable, production-grade MLJob Details
Location : Mulund, Mumbai
Interview process
Round 1 : Technical screeningRound 2 : ML System DesignRound 3 : Coding and Hands-on EvaluationRound 4 : Cultural Fit and Founder DiscussionShow more
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Skills Required
Tensorflow, Pytorch, Docker, Postgres, Flask, Python, Aws, Google, Gcp, FastAPI, Kubernetes