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About the role
Bachelor's degree in computer science, Engineering, Statistics, or a related technical field
6 - 8 years of experience in Data Analytics, Data Science, or Generative AI roles.
Strong experience delivering data-driven and AI solutions in production environments.
Proficiency in Python, PySpark, and SQL.
Hands-on experience with data science libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib.
Experience with GenAI platforms and tools, including OpenAI, Anthropic, Google Vertex AI, FastAPI, Gradio, and Streamlit.
Strong understanding of RAG (Retrieval-Augmented Generation) and Agentic AI architectures using LangChain and Lang Graph.
Experience developing and deploying APIs using Fast API or similar frameworks.
Knowledge of MLOps practices and machine learning deployment workflows is a plus.
Strong analytical, problem-solving, communication, and stakeholder management skills.
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