Job Description

Responsibilities

  • AI/ML & LLM Expertise:
  • Design, fine-tune, and deploy small and open-source large language models (LLMs) such as Llama, Mistral, OpenAI GPT, etc.
  • Hands-on leadership in prompt engineering, few-shot prompting, and building advanced NLP/NLU workflows.
  • Guide adoption of modern AI/ML frameworks (Hugging Face Transformers, LangChain, LangGraph, etc.) and architect reusable pipelines in Python.
  • Python & API Development:
  • Drive critical systems architecture in Python, using best practices in API and microservices design (FastAPI, Flask, Django, etc.).
  • Cloud Deployment (AWS/Azure/GCP):
  • Architect, deploy, and scale robust, production-grade ML/AI solutions on cloud (AWS strongly preferred), leveraging cloud-native tools (Lambda, S3, ECS/ECR/Fargate, etc.), serverless, and IaC (CloudFormation/Terraform).
  • Champion DevOps best practices, automation, containerization (Docker/...

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