Location: Pune — In office

Experience: 7+ years in software engineering, AI/ML, and systems architecture

Compensation: Equity-based, with performance-linked milestones

About the Role

NeuraMach AI builds AI products across education, language, creative content, energy, and financial analytics — all on AWS. We need one senior engineer to own the AI/ML layer end-to-end: research, training, deployment, and monitoring across our whole portfolio. This is a hands-on, in-office role — you'll be pairing, training models, and shipping code daily, not just advising.

What You'll Own
AI/ML Engineering: Train, fine-tune, and evaluate models across LLM/RAG, generative, time-series, computer vision, and anomaly detection use cases. Own prompt engineering, agent design, and MCP server integrations.
MLOps: Build training-to-production pipelines — experiment tracking, model registries, versioning, safe rollouts, and evaluation/drift monitoring.
AWS Infrastructure: Own the cloud foundation across compute, storage, networking, AI/ML services (SageMaker, Bedrock), data pipelines,



and observability.
Backend & Integration: Own FastAPI/Celery/ValKey backend services and the integration layer connecting AI/ML, databases (Postgres/pgvector, DynamoDB), and the React/Next.js frontend.
Team Leadership: Mentor a lean AI/ML and full-stack team through daily code reviews and hands-on unblocking; translate product strategy into technical roadmaps.

What We're Looking For
7+ years in engineering, with experience leading a pod or technical track
Strong ML fundamentals and hands-on training experience (deep learning, NLP, CV, time-series, etc.), not just calling libraries
Production LLM/RAG experience, with MCP fluency
Hands-on MLOps and deep AWS proficiency (production experience across 15+ services)
Robust backend skills: FastAPI, Celery, ValKey/Redis
Comfortable reviewing React/Next.js code and making full-stack architecture calls
Solid Python across ML, backend, and scri

📌 Tech Lead Baner
🏢 NeuraMach AI
📍 Baner