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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