Senior Python ML Engineer Build Scalable Models & Pipelines

Govserviceshub; Snoqualmie (WA); On-site; USD 120,000 - 200,000; Full time

Job summary

A technology solutions provider in Snoqualmie, United States is seeking a skilled Machine Learning Engineer to design and deploy Python-based ML solutions for large-scale data analysis. The role involves optimizing models, building data pipelines, and collaborating with cross-functional teams. The ideal candidate should have strong proficiency in Python and experience in machine learning workflows, particularly with Microsoft Azure tools. Mentoring junior engineers and ensuring code quality are key aspects of the position.

Qualifications

• Strong proficiency in Python and machine learning libraries.
• Experience with Azure ML and related Microsoft AI/ML tools.
• Knowledge of cloud-based MLOps practices and data modeling.

Responsibilities

• Design, develop, and deploy Python-based ML solutions.
• Build ETL/data pipelines for structured and unstructured datasets.
• Perform exploratory data analysis and feature engineering.
• Collaborate with teams to translate problems into technical solutions.
• Optimize models for scalability and performance.
• Mentor junior engineers and ensure code quality.

Skills

Python proficiency (Pandas, NumPy, Scikit-learn, FastAPI/Flask)

Machine learning workflows

Cloud-based MLOps practices

Strong SQL skills

Deep learning frameworks (PyTorch, TensorFlow)

Containerization (Docker, Kubernetes)

Job description

A technology solutions provider in Snoqualmie, United States is seeking a skilled Machine Learning Engineer to design and deploy Python-based ML solutions for large-scale data analysis. The role involves optimizing models, building data pipelines, and collaborating with cross-functional teams. The ideal candidate should have strong proficiency in Python and experience in machine learning workflows, particularly with Microsoft Azure tools. Mentoring junior engineers and ensuring code quality are key aspects of the position.