Machine Learning Engineer

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.

• Core Knowledge & Skills: Works across multiple languages and platforms, designs and implements architectural decisions, applies design patterns, cloud-native services, IAAS/PAAS/SAAS basics, and secure coding practices (e.g., OWASP Top 10).

• Work & Complexity: Performs complex tasks under limited guidance, integrates and troubleshoots distributed or cloud services, and optimizes performance and scalability.

• Quality & Independence: Sets a high bar for code quality, multitasks effectively, owns and corrects errors quickly, and drives continuous improvement.

• Teamwork & Communication: Leads code reviews, mentors teammates, and translates technical concepts for non-technical stakeholders.

• Consulting & Engagement: Works directly with clients without oversight, writes technical RFP content when needed, nurtures client relationships, and manages routine client concerns.

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.  

Key Responsibilities

• Develop and deploy software into production in government environments.

• Build data pipelines and manage the full data lifecycle.

Required For This Opportunity

• 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.

Nice to Have Skills

• A certification in Data Science, AI, or another related certification is preferred, but not required.  

At AIS, we are committed to offering competitive and fair compensation that reflects the skills, experience, and contributions of each team member. The targeted base salary range for this role is $100,000-$150,000 per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location. We value transparency in our hiring process and are happy to discuss how your unique qualifications align with our compensation structure during the interview process.

Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.