Python Engineer – Machine Learning & Data Analysis – Bellevue, WA

Role: Python Engineer – Machine Learning & Data Analysis

Location: Bellevue, WA (Hybrid) (Local candidates to WA only)

Duration: 12+ Months

Must have:

Python
EDA
ETL
AI/ML
Azure ML
Azure Data Factory
SQL

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.

Requirements:

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.