Artificial Intelligence Engineer

4 days ago

PimpriChinchwad, Maharashtra, India Hindustan Pressings Private Limited Full time ₹ 10,00,000 - ₹ 25,00,000 per year

Hiring: Founding AI Engineer (Manufacturing Intelligence) — Stealth Build

If you can read a STEP file and tell a factory what to do—with code—you're who I'm looking for.

What you need to know

  • Build CAD ingestion + feature recognition for sheet metal parts (STEP/Parasolid/JT), including thickness, bends, cut paths, hole patterns, and weld seams.
  • Design a rules/ML engine that converts geometry into manufacturable process plans (laser/press-brake/weld/stamping) with cycle-time and throughput estimates.
  • Ingest and model time-series data on materials, labor, energy, logistics, and shop productivity to drive region-aware recommendations.
  • Ship a production API and a lightweight web UI (upload → instant plan → clear explainability).
  • Establish data quality, auditability, and versioning from day one.

You should have

  • 4–8 years building production ML/AI systems (Python preferred) AND strong software engineering fundamentals (testing, CI/CD, profiling).
  • Hands-on with geometric kernels/tooling (Open Cascade, CGAL, trimesh, mesh/solid ops) or equivalent real experience.
  • Manufacturing/IE intuition: cycle-time modeling for laser, bending, welding, stamping; fixture/setup thinking; OEE basics.
  • Data plumbing: APIs/ETL, Postgres/Timeseries, caching, and basic MLOps.
  • Ability to turn ambiguity into shipped code without hand-holding.

Nice to have

  • Experience inside a fab shop or on a production floor.
  • Knowledge of PLM/ERP integrations, BOM/route structures.
  • for services and UI.

Stacks

Python (FastAPI), Postgres/Timescale, S3, Open Cascade/trimesh, Cloud-agnostic.

Location

Pune preferred; remote (India) for the right person. Full-time.

How to apply

DM me on LinkedIn with:

  1. Links or brief write-ups for
    two
    projects:

  2. Parsing/working with CAD/geometry, or

  3. Turning engineering rules into a planner/scheduler/estimator, or
  4. Building a production ML service with clear SLAs.

Details about CTC will be discussed on call or in person.

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