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Machine Learning Engineer

Fast Code AI

2 - 5 years

Bengaluru

Posted: 09/03/2026

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Job Description

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:

  • 34 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.

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