Machine Learning Engineer

Unissant is hiring a Machine Learning Engineer to design, build, and maintain machine-learning models and support AI product development for a federal customer.

Responsibilities

• Design, build, and maintain machine-learning models for AI applications
• Improve model accuracy, efficiency, scalability, and reliability on an ongoing basis
• Analyze large datasets to identify patterns, trends, and actionable insights
• Form hypotheses, design experiments, and validate results using statistical methods
• Develop and maintain 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
• Partner 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
• Work 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
• Product-development lifecycle experience and Agile methodology exposure are preferred
• Proficiency in Python, R, or Java
• Experience with ML frameworks and libraries: 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 including Tableau, Power BI, Matplotlib, or Plotly
• Knowledge of AWS, Microsoft Azure, or Google Cloud for deployment and data storage is preferred
• Strong analytical and problem-solving skills 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 (required)
• Must be a United States citizen
• 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
• May begin with a limited CBP Background Investigation
• No professional certification required

Location and Work Schedule

• Hybrid role based in Ashburn, Virginia
• Onsite attendance required four days per week during the first year
• Onsite attendance may be required 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

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

Communication Skills

• Excellent written and verbal communication skills
• Ability to explain 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.