iSoftTek Solutions Inc
Python Engineer - Machine Learning & Data Analysis
iSoftTek Solutions Inc, Snoqualmie, Washington, United States, 98065
Senior Python Engineer – Machine Learning & Data Analysis
Snoqualmie , WA - Onsite
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.
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.