Python Engineer - Machine Learning & Data Analysis

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
100% Travel

Skills

Python
Machine learning
Scikit-learn
Artificial Intelligence
Azure Data Factory
Exploratory Data Analysis

Job Details

Hi,

My name is Deepak Verma, and I am a Technical US IT Recruiter at Empower Professionals Inc. We have Python Engineer - Machine Learning & Data Analysis role with our client located in Bellevue, WA (Hybrid). Please share the interested candidate's profile.

Role: Python Engineer - Machine Learning & Data Analysis

Location: Bellevue, WA (Hybrid)

Duration: 12+ Months

Must have:

  • Python
  • EDA
  • ETL
  • AI/ML
  • Azure ML
  • Azure Data Factory
  • SQL

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.

Requirements:

  • 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.

Best Regards

Deepak Verma

Empower Professionals Inc

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|Direct: x 355

100 Franklin Square Drive Suite 104 | Somerset, NJ 08873

Certified NJ and NY Minority Business Enterprise (NMSDC)

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