Machine Learning Engineer

26 days ago

Alexandria, VA, USAMid Level

Base Salary

$110k - $166k/yr

Responsibilities

Develop and deploy software into production in government environments.
Build data pipelines and manage the full data lifecycle.
Implement machine learning and predictive solutions using Python data science technologies.
Optimize complex SQL, perform advanced data modeling, and develop scalable ETL/ELT pipelines.
Address high-complexity data integration and performance challenges while delivering analytics automation at scale.
Lead cross-functional and client-facing work, mentor engineers, and communicate technical insights to senior stakeholders.

Bachelor's degree in Computer Science or a closely related field.
At least 3 years of experience in software development, machine learning, and/or AI engineering.
Strong hands-on Python experience, including Python data science technologies such as TensorFlow, scikit-learn, and pandas.
Hands-on experience with Kubernetes, Postgres, and Docker.
Proven experience building data pipelines, managing the full data lifecycle, and developing and deploying software into production in government environments.
Active Secret clearance required.
Certification in Data Science, AI, or a related field is preferred but not required.

Employee ownership with contributions tied to company success.
Access to continuous-learning resources, training, and mentorship.
Inclusive and collaborative workplace culture.
Mission-driven projects supporting clients and communities.
Hybrid role in the DC/Maryland/Virginia area.
Position is contingent upon contract award and may support future hiring needs on the awarded program.

5,001-10,000 employees