Govserviceshub
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.
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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.
#J-18808-Ljbffr