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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

On-site
  • Mumbai, Mahārāshtra, India