Role: Senior Python Engineer Machine Learning & Data Analysis
Location: Seattle WA
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.