Sumeru
Senior Python Engineer Machine Learning & Data Analysis
Sumeru, Snoqualmie, Washington, United States, 98065
Role: Senior Python Engineer Machine Learning & Data Analysis
Location:
Snoqualmie, WA (Onsite – Hybrid) 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.
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Snoqualmie, WA (Onsite – Hybrid) 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.
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