AI Data Scientist with 3+ Years of Experience

Key Responsibilities

• Develop and manage AI workflows leveraging Agentic AI frameworks such as LangChain and LangGraph alongside orchestration technologies.
• Create end-to-end AI pipelines for model inference, training, and deployment using cloud platforms like AWS, Azure, or GCP.
• Conduct research and develop architectures based on Retrieval-Augmented Generation (RAG), vector databases, and embedding algorithms.
• Maintain and enhance scalable APIs and microservices to efficiently serve models in production environments.
• Generate data visualizations and insights employing Python libraries or business intelligence tools such as Power BI and Tableau.

Technical Requirements

• Proficient in Python programming with experience using FastAPI.
• Experience working with various AI APIs and platforms including Hugging Face, OpenAI API, Gemini, Anthropic, and Ollama.
• Hands-on experience with deep learning frameworks such as PyTorch and TensorFlow, plus machine learning libraries like Scikit-learn.
• Strong skills in data manipulation and feature engineering using Pandas, NumPy, and SciPy.
• Expertise in working with relational databases (SQL/Postgres) and NoSQL databases including MongoDB, as well as vector databases like FAISS and Weaviate.
• Familiarity with containerization technologies like Docker and automation tools including CI/CD pipelines and GitHub Actions.