Machine Learning Engineer

AIS (Applied Information Sciences)•Washington, DC

37d•$100,000 - $150,000•Hybrid

About The Position

Why AIS? When you join AIS, you’re joining a mission-driven team that’s passionate about making a difference. You’ll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success. Employee Ownership: Your contributions directly impact the company’s success, and you share in its achievements. Continuous Learning: Access to resources, training, and mentorship to support your professional growth. Inclusive Culture: A workplace where diversity is celebrated, and everyone’s voice is valued. Mission-Driven Work: Engage in projects that make a meaningful difference for our clients and communities. What are we looking for? At AIS, we're looking for more than just skills - we're looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles. Working@AIS At AIS, we are dedicated to providing our employees with diverse opportunities to grow their careers while supporting a variety of impactful projects. For this position, we are seeking a talented individual to join AIS as a Senior Software Engineer. As your initial project assignment, you will support the unique needs of our client as a Machine Learning Engineer. Project Summary AIS is seeking a Machine Learning Engineer for an AI Engineering contract supporting a federal customer in a hybrid role in the DC/Maryland/Virginia (DMV) area.

Requirements

Bachelor’s Degree in Computer Science (or closely related degree).
At least 3 years of experience in Software Development, Machine Learning, and/or AI Engineering.
Must have hands-on experience with Python, Python DS Tech Stack (tensorflow, scikit-learn, pandas, etc.), Kubernetes, Postgres, and Docker.
Must have a strong Python background.
Must have a proven track record of building data pipelines, managing the full data lifecycle, and developing and deploying software into production in government environments.
Must have an Active Secret Clearance.