Senior Machine Learning Engineer - Mumbai
- On-site
- India
End-to-end ownership of Nova’s ML systems, working on agentic AI and real-world automation
Job description
Overview
Hands-on Machine Learning Engineer to lead and scale ML infrastructure, models, and pipelines for agentic AI products at Nova.
Company details
Nova builds AI teammates to help businesses protect revenue and automate manual tasks in finance, legal, and compliance.
Website: https://novahq.ai/
Founder: linkedin.com/in/deepg
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 teammates
Implement agentic AI workflows with LLMs and orchestration frameworks
Design and optimize RAG pipelines for performance and accuracy
Build connectors to integrate AI with external systems
Fine-tune models for domains like finance, legal, and tax
Monitor model performance, optimize for cost, latency, and reliability
Lead best practices for scalable, production-grade ML
Job Details
Location: Mulund, Mumbai
Interview process
Round 1: Technical screening
Round 2: ML System Design
Round 3: Coding and Hands-on Evaluation
Round 4: Cultural Fit and Founder Discussion
Important Note
ClanX is a recruitment partner, helping Nova hire a Machine Learning Engineer
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Details
- Mumbai, Mahārāshtra, India
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