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Senior Machine Learning Engineer

Senior Machine Learning Engineer

Name: Jobpe
Address: T-Hub, Plot No 1/C, Sy No 83/1, Raidurgam panmaktha, Knowledge City Rd, Hyderabad, Telangana, 500081, IN
Telephone: +91-83339-09630
Price range: Free

Nova

5 years

0 Lacs

mumbai maharashtra india

Posted:9 hours ago| Platform:

Apply

Skills Required

learning ai reconciliations compliance tracking automation ml model orchestration routing design finance extraction summarization metrics fastapi flask pytorch data pipeline openai latency docker kubernetes aws evaluation targeting code

Work Mode

On-site

Job Type

Full Time

Job Description

About Nova:

Nova is building AI teammates that help businesses protect revenue, prevent invisible losses, and free teams from repetitive work. We focus on high-impact areas like reconciliations, contract reviews, and compliance tracking; turning manual tasks into ROI-driven automation that empowers people to do their best work.

About the role:

lead our ML efforts end-to-end

hands-on role

What you will work on:

Architect and scale ML pipelines powering Nova’s AI teammates.

Implement multi-LLM, multi-agent orchestration (e.g., LangGraph or equivalents)
with routing, chaining, retries, tool-use, guardrails, and
persisted state
.

Design and optimize
RAG pipelines
(hierarchical chunking, embeddings, hybrid search, re-ranking).

Build and maintain connectors (via
MCP
and other frameworks) so agents can reliably discover and integrate with external systems

Adapt and fine-tune models for Finance, Legal, and Tax workflows (e.g., extraction, summarization, anomaly detection).

Deploy and monitor models in production using APIs, tracing, metrics, and balancing cost with performance.

Create a culture where ML is built for production from day one — fast experiments that are measurable, reproducible, and ready to scale.

What we are looking for:

4–5 years as an ML Engineer / Applied Scientist working in production environments.

Strong
Python
(FastAPI/Flask),
PyTorch/TensorFlow
, and data pipeline expertise.

Deep knowledge of
LLMs, RAG systems, embeddings, and vector DBs
(PGVector/Postgres preferred).

Experience working with
multiple LLM providers
(OpenAI, Anthropic, Google, open-source models) and balancing cost, latency, and quality.

Comfortable with
Docker, Kubernetes, CI/CD
, and deploying to
AWS/GCP
.

Bonus: experience with LangGraph/LangChain, vLLM/Ray, LLM evaluation frameworks, or event-driven architectures.

What you will get:

A chance to build from 0 to 1 the AI backbone of a product targeting a $100M+ ARR opportunity.
End-to-end ownership and visibility, your code will run in production, not in notebooks.
A front-row seat to shape how agentic AI gets applied to real-world, high-stakes problems.

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Senior Machine Learning Engineer

Experience & Salary

Skills Required

Work Mode

Job Type

Job Description

About Nova:

About the role:

lead our ML efforts end-to-end

hands-on role

What you will work on:

Implement multi-LLM, multi-agent orchestration (e.g., LangGraph or equivalents)

persisted state

RAG pipelines

MCP

What we are looking for:

Python

PyTorch/TensorFlow

LLMs, RAG systems, embeddings, and vector DBs

multiple LLM providers

Docker, Kubernetes, CI/CD

AWS/GCP

What you will get:

More Jobs at Nova