Machine Learning Engineer

• 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., The above statements describe the general nature and level of work performed by individuals assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, or required skills. Unissant management reserves the right to modify, add, or remove duties and assign other duties as necessary. Where applicable and available, reasonable accommodations may be provided to enable individuals with disabilities to perform essential functions.

• 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.

Education

A bachelor’s degree in Computer Science, Data Science, Electrical Engineering, Physics, or a related technical field is required.

Certificates, Licenses, and Registrations

• This federal program requires candidates to be United States citizens.
• Candidates 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.
• No professional certification is required.

Communication Skills

• 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.

Travel and Work Location

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

Environmental Requirements

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

Unissant, Inc. delivers innovative capabilities to the agencies that keep our nation healthy and safe. We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results for our clients. Working collaboratively, we advance missions and careers through a focus on honesty, integrity, and dependability. We continuously look for talent, excited to join that effort. To learn more about our exciting organization, please visit us at www.unissant.com.