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AI Startup

ML Engineer

📍 Remote🏢 Remote💰 ₹22–30L per year🕐 Posted 7 days ago

About this role

AI Startup is building foundation model fine-tuning infrastructure for enterprise clients. We work with large language models and multimodal models, helping companies adapt base models to domain-specific tasks with limited proprietary data.

The ML Engineer role focuses on the full lifecycle of model development and deployment: dataset curation, fine-tuning pipelines, evaluation frameworks, and serving infrastructure. You'll work closely with research scientists on experiments and with platform engineers on productionising models.

We're a small team with a strong research culture — we publish, we open-source, and we move fast. If you want to work at the frontier of applied ML and have your work matter, this is the role.

What we're looking for

  • 3–6 years of ML engineering experience with production deployments
  • Strong Python; experience with PyTorch and transformers ecosystem
  • Hands-on with MLflow or equivalent experiment tracking and model registry
  • Experience with distributed training and GPU workload management
  • Understanding of LLM fine-tuning techniques (LoRA, instruction tuning, RLHF)
  • Bonus: published research or open-source contributions; experience with GCP Vertex AI or AWS SageMaker
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Company
AI Startup
IndustryAI / Machine Learning
Size40 employees
HQBengaluru, India
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Role quick-facts
Experience3–6 years
DomainML / MLOps
StackPython / PyTorch / MLflow / GCP
RemoteFully remote
Candidate pool
Total applicants4
🛡 Gatoms-verified0
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