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TechniPros, LLC

AI/ML Engineer - Fairfax, VA, Washington, DC, Silver Spring, MD, Philadelphia, PA, Wilmington, DE

Pay: Not specified

Posted: 4 weeks ago

Location: Fairfax, VA (Onsite)

Last Updated: 1 day ago

Hours: Full-Time

Expires: 10/4/2026

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What they do

A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.

$123,933 / year median in Virginia

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Job Description

Job Title:

Enterprise AI/ML Engineer Location:

Fairfax, VA, Washington, DC, Silver Spring, MD, Philadelphia, PA, Wilmington, DE Contract:

12+ Months Looking for W2 candidates. No C2C Job Summary We are looking for an Enterprise AI/ML Engineer to develop intelligent business solutions using Machine Learning, Data Science, LLMs, predictive analytics, and enterprise AI integration. The ideal candidate will have experience building scalable AI platforms and deploying production-ready ML applications. Key Responsibilities Develop production Machine Learning models. Build enterprise AI applications. Design predictive analytics solutions. Develop feature engineering pipelines. Implement AI APIs and microservices. Build recommendation engines and forecasting models. Deploy ML workloads using Kubernetes. Monitor models and AI services. Build dashboards using Power BI. Support AI governance initiatives. Required Skills Python SQL Machine Learning Data Science Predictive Analytics Deep Learning Scikit-learn TensorFlow PyTorch Fast

API REST

APIs Kubernetes Docker Azure ML Power BI Git Preferred Skills Snowflake Databricks Feature Engineering AI Monitoring Responsible AI Financial Services Domain Best Regards: