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/K8s), CI/CD, and operational monitoring.
Technical Leadership:
Mentor engineer...

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