Data Scientist

• Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field.
• 5+ years of software development experience with strong Python skills.
• 2–3+ years of hands-on experience building GenAI/LLM-based applications.
• Experience developing multi-step agent workflows using LangGraph or similar orchestration frameworks.
• Proficient in designing retrieval pipelines: document loaders, chunking strategies, embedding models, and vector database integration.
• Strong grasp of GenAI concepts, including:
• Retrieval-Augmented Generation (RAG)
• Embeddings & vector databases (e.g., FAISS, Pinecone, ChromaDB)
• Prompt engineering and fine-tuning
• LLM APIs (e.g., OpenAI, Claude, Gemini)

·  Experience deploying cloud-native solutions using GCP and/or Azure.

·  Solid understanding of API design, microservices, and software architecture patterns.

·  Familiarity with version control systems (e.g., Git, Azure DevOps).

·  Experience with Docker and Kubernetes.

·  Demonstrated ability to build and scale AI/ML solutions from proof-of-concept to production