Machine Learning Engineer

Unissant is hiring a Machine Learning Engineer to design, build, and maintain machine-learning models and help deliver AI capabilities for a federal customer.

Responsibilities

• Design, build, and maintain machine-learning models for AI applications
• Improve model accuracy, efficiency, scalability, and reliability over time
• Analyze large datasets to uncover patterns, trends, and actionable insights
• Formulate hypotheses, plan experiments, and validate results using statistical methods
• Develop and maintain data pipelines supporting 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
• Perform ongoing model maintenance to sustain accuracy and operational reliability
• Contribute 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
• Bachelor’s degree in Computer Science, Data Science, Electrical Engineering, Physics, or a related technical field
• Candidates must be United States citizens
• Must be able 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 role based in Ashburn, Virginia
• Onsite attendance required four days per week during the first year
• Additional onsite attendance as mission needs require

Environmental Requirements

• Primarily sedentary work in an office environment
• Flexibility required to support changing projects and mission priorities

Communication Skills

• Excellent written and verbal communication skills
• Ability to communicate technical information to 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

Education

• Bachelor’s degree in Computer Science, Data Science, Electrical Engineering, Physics, or a related technical field

Compensation

• USD 120,000 - 175,000 per year