Unissant is seeking a Machine Learning Engineer to design, build, and maintain machine-learning models while supporting AI product development for a federal customer. This hybrid role is based in Ashburn, Virginia, with onsite attendance required four days per week during the first year and as mission needs require.

In this position, you will work within a large Agile development team to turn data into reliable AI capabilities, from prototyping through deployment and ongoing monitoring. The work emphasizes model performance, data quality, and operational reliability for real-world use cases.

Responsibilities

Design, build, and maintain machine-learning models for AI applications.
Continuously improve model accuracy, efficiency, scalability, and reliability.
Analyze large datasets to identify patterns, trends, and actionable insights.
Develop hypotheses, design experiments, and validate findings using statistical methods.
Develop and maintain reliable data pipelines that support data quality and usability.
Collaborate with data-engineering teams to optimize data infrastructure.
Support AI product development from prototyping through deployment and monitoring.
Work with product managers, designers, and quality-assurance teams to integrate AI capabilities.
Implement monitoring and alerting for model performance and product KPIs.
Conduct ongoing model maintenance to ensure accuracy and operational reliability.
Collaborate within a large Agile development team.

Requirements

Experience supporting artificial-intelligence, machine-learning, or data-analytics projects.
Demonstrated experience developing and deploying AI/ML models in production environments.
Experience with product-development lifecycles and Agile methodologies is preferred.
Proficiency in Python, R, or Java.
Experience with machine-learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.
Experience with MLOps pipelines and CI/CD.
Familiarity with SQL and NoSQL databases.
Familiarity with data-processing frameworks such as Apache Spark or Hadoop.
Experience with analytics and visualization tools such as Tableau, Power BI, Matplotlib, or Plotly.
Knowledge of AWS, Microsoft Azure, or Google Cloud for model deployment and data storage is preferred.
Strong analytical and problem-solving abilities with exceptional attention to detail.
Excellent interpersonal and cross-functional communication skills.
Ability to work independently and manage multiple projects simultaneously.
A bachelor’s degree in Computer Science, Data Science, Electrical Engineering, Physics, or a related technical field is required.
United States citizenship is required for this federal program.
Ability to obtain and maintain a Public Trust position and favorable suitability based on a U.S. Customs and Border Protection Background Investigation.
Candidates may begin with a limited CBP Background Investigation.

Technologies

Python, R, Java
TensorFlow, PyTorch, Scikit-learn
MLOps, CI/CD
SQL, NoSQL
Apache Spark, Hadoop
Tableau, Power BI, Matplotlib, Plotly
AWS, Microsoft Azure, Google Cloud

Work Location and Travel

Hybrid position based in Ashburn, Virginia.
Onsite attendance required four days per week during the first year and as mission needs require.

Work Environment

Primarily sedentary work performed in an office environment.
Flexibility may be required to support changing projects and mission priorities.

Communication

Excellent written and verbal communication skills.
Ability to communicate technical information to both technical and nontechnical audiences.
Ability to collaborate effectively with product, engineering, design, and quality-assurance teams.
Ability to work successfully in a large Agile team environment.

Compensation: USD 120,000 - 175,000 per year.

Machine Learning Engineer