Senior Python Engineer (ML

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.
• 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.

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)

ML workflows

Cloud-based MLOps

FastAPI/Flask

EDA/Feature engineering

MS stack knowledge

Tools

Azure ML

Azure Data Factory

Synapse Analytics

PyTorch

TensorFlow

Docker

Kubernetes

FastAPI/Flask

Job description

Snoqualmie, United States | Posted on 01/07/2026

• Design, develop, and deploy Python-based ML solutions for large-scale dataanalysis.
• Build ETL/data pipelines to process structured and unstructured datasets.
• Perform exploratory data analysis (EDA), feature engineering, and modelevaluation.
• Collaborate with data scientists, analysts, and business teams to translatebusiness problems into technical solutions.
• Optimize models for scalability, performance, and accuracy.
• Mentor junior engineers and review code for quality and best practices.

Requirements

RequiredSkills & 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, AzureData 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.