AI / ML Engineer

• Develop AI/ML and Generative AI applications.
• Build and deploy LLM-based solutions using OpenAI, Gemini, Claude, Llama, etc.
• Create RAG pipelines using vector databases.
• Implement AI agents, prompt engineering, and workflow automation.
• Design scalable ML pipelines and production AI services.
• Deploy and monitor models using MLOps best practices.
• Collaborate with cross-functional teams to deliver AI solutions.
• Optimize model performance, scalability, and infrastructure costs. 

Required Skills

• Python, PyTorch, TensorFlow, Scikit-learn
• Hugging Face, LangChain, LlamaIndex
• OpenAI APIs and LLM frameworks
• RAG, AI Agents, Chatbots, NLP, Deep Learning
• Vector Databases: Pinecone, Weaviate, Chroma, FAISS, Milvus
• Cloud Platforms: AWS, Azure, or GCP
• Docker, Kubernetes, MLflow, Airflow, CI/CD
• FastAPI or Flask
  • PostgreSQL, MongoDB, Redis