Strong Python expertise focused on AI and data-centric systems
Deep knowledge of ML and AI frameworks (scikit-learn, PyTorch, TensorFlow, Hugging Face)
Experience integrating LLMs (OpenAI, Anthropic, Gemini) and building vector-based retrieval systems
Proficiency in prompt engineering and orchestration tools (LangChain, LangGraph, Semantic Kernel, Crew AI)
Hands-on with vector databases (Pinecone, Weaviate, FAISS, Milvus) and GenAI system design
Practical knowledge of MLOps and DevOps (Docker, Kubernetes, GitHub Actions, Azure DevOps)
Experience deploying AI solutions in cloud environments (AWS, Azure, GCP)
Solid grasp of architecture, APIs, microservices, and security standards (IAM, RBAC)
Proven leadership experience managing or mentoring engineering teams
Fluent English (C1 level)
