Machine Learning Engineer

ML Engineer

Company: Fast Code AI

Location: Bangalore (In-office, 5 days/week)

About Fast Code AI

We're a 40-person AI/ML company building production systems for major clients across the world's leading engineering organizations. We move fast, ship real systems, and believe the best engineers grow by owning hard problems end-to-end.

About This Role:

We're looking for experienced ML Engineers ready to work on high-impact, production-grade AI systems. You'll be at the intersection of Generative AI and Computer Vision - building solutions that are deployed at scale for enterprise clients, not demos or POCs. You'll work directly with engineers and technical leaders from some of the world's top engineering organizations.

What You'll Do:

Design and deploy Generative AI systems (LLMs, VLMs) for enterprise clients

Build and ship computer vision pipelines end-to-end from data to production

Own projects at the architecture level - you shape the solution, not just execute tickets

Work directly with client teams from world-class engineering organizations

We're Looking For:

3–4 years of hands-on ML engineering experience

Deep familiarity with Generative AI - LLMs, VLMs, prompt engineering, fine-tuning

Strong computer vision experience - detection, segmentation, classification, or multimodal systems

Strong software engineering fundamentals - large-scale systems, system design, clean code under pressure

High agency - you identify problems and ship solutions without waiting for permission

Direct communication style - you push back with data, not opinions

Production mindset: testing, monitoring, reliability

Requirements:

Bachelor's or Master's degree in Computer Science or related field

Strong programming fundamentals

Willingness to work from our Bangalore office 5 days/week

Nice to Have:

Experience with model serving infrastructure (vLLM, TGI, Triton)

Familiarity with MLOps tooling (Azure ML, MLflow, DVC)

Prior client-facing or consulting experience

Why Fast Code AI:

Work directly with engineers and technical leaders from the world's leading engineering organizations

Learn from industry veterans who've worked at Apple, Weta Digital, and published with Yann LeCun

Work on real production systems - not POCs

Join alumni who've gone on to lead ML at US startups, co-found companies, and become professors

Grow faster than anywhere else - we've proven it works!

Fast Code AI is an equal opportunity employer committed to building a diverse and inclusive team.