AI Deployment Expert for LLM/Vision
Budget: ₹750 – ₹1,250 INR
We’re an AI startup developing applications in pharma and life sciences. We’re seeking a hands-on consultant to help deploy a range of AI models (LLMs, vision, multimodal) and guide our engineering team in doing the same.
Key Responsibilities:
Deploy AI models using tools like FastAPI, TorchServe, or Triton
Containerize models and manage inference endpoints
Set up and optimize deployments on Azure (preferred environment)
Build CI/CD pipelines (GitHub Actions), logging, and monitoring
Work alongside and coach our engineers on best practices for scalable model serving
Requirements:
Strong experience in AI/ML model deployment
Proficiency in Azure cloud services, Docker, APIs, and deployment frameworks
Familiarity with real-time and batch inference setups
Excellent communication skills for team coaching and knowledge transfer
Details:
Engagement: Freelance / Hourly (10+ hrs/week)
Location: Remote
Duration: Initial 2 months, extendable
Key Responsibilities:
Deploy AI models using tools like FastAPI, TorchServe, or Triton
Containerize models and manage inference endpoints
Set up and optimize deployments on Azure (preferred environment)
Build CI/CD pipelines (GitHub Actions), logging, and monitoring
Work alongside and coach our engineers on best practices for scalable model serving
Requirements:
Strong experience in AI/ML model deployment
Proficiency in Azure cloud services, Docker, APIs, and deployment frameworks
Familiarity with real-time and batch inference setups
Excellent communication skills for team coaching and knowledge transfer
Details:
Engagement: Freelance / Hourly (10+ hrs/week)
Location: Remote
Duration: Initial 2 months, extendable