brillio

Design and develop end‑to‑end data science solutions for predictive analytics and AI agents. Perform statistical modeling, hypothesis testing, and advanced regression analyses. Build, train, and deploy machine learning models using Python, PySpark, TensorFlow or PyTorch on cloud platforms. Collaborate with cross‑functional teams to translate business problems into data‑driven strategies. Monitor model performance and implement continuous improvement pipelines.

Proficiency in Python and PySpark for data manipulation and modeling. Strong foundation in statistical methods such as hypothesis testing, regression, and time‑series forecasting. Hands‑on experience with ML frameworks like TensorFlow, PyTorch, Scikit‑Learn. Experience with data pipelines, KubeFlow or similar MLOps tools. Bachelor’s/Master’s degree in Computer Science, Statistics, Mathematics or related field.

Knowledge of LangGraph or agentic AI architectures. Familiarity with knowledge‑graph technologies and vector databases (Pinecone, FAISS). Exposure to reinforcement learning (RLHF/RLAIF) and large language model orchestration.