Senior Python Engineer – Machine Learning & Data Analysis
Overview
Senior Python Engineer – Machine Learning & Data Analysis
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.Seniority level
Mid-Senior levelEmployment type
Contract#J-18808-Ljbffr