Job description

Key Responsibilities • Design, develop, and deploy Python-based ML solutions for large-scale data analysis. • Build ETL/data pipelines to process structured and unstructured datasets. • Perform exploratory data analysis (EDA), feature engineering, and model evaluation. • Collaborate with data scientists, analysts, and business teams to translate business problems into technical solutions. • Optimize models for scalability, performance, and accuracy. • Mentor junior engineers and review code for quality and best practices. Required Skills & Experience • Strong proficiency in Python (Pandas, NumPy, Scikit-learn, FastAPI/Flask). • Experience with machine learning workflows: data preprocessing, model training, evaluation, and deployment preferably using Microsoft stack Azure ML, Azure Data Factory, Synapse Analytics, and related Microsoft AI/ML tools. • Knowledge of cloud-based MLOps practices. • Strong SQL and data modelling skills. • Experience with deep learning frameworks (PyTorch, TensorFlow) is nice to have. • Knowledge of containerization (Docker, Kubernetes) is nice to have.

Requirements