Title: Senior Python Engineer – Machine Learning & Data Analysis
Duration: Contract
Work 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.
- Optimise 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 usingthe 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 technologies (e.g., Docker, Kubernetes) is desirable.
Abhishek Kumar
SPAR Information Systems
(an E-Verify Company)
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