Sr. AI/ML Engineer II (6182)

MetroStar Systems•Washington, DC

39d•$105,000 - $212,000

About The Position

As Sr. AI/ML Engineer II, you'll lead design, development, evaluation, and operationalization of AI/ML models for IC missions-spanning feature engineering, training, evaluation, drift monitoring, and deployment across classified fabrics (MLOps at scale). AI/ML Lead on team consisting of software, AI/ML, Database, Cybersecurity Engineers as well as additional supporting skillsets for a wide-ranging mission focused on building, enhancing, maintaining, and modernizing a large collection of analytic programs. We know that you can't have great technology services without amazing people. At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers. If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

Requirements

8+ years in AI/ML engineering or data science with operational deployments.
Advanced degree in CS/Data Science/related.
Active TS/SCI.
Proficiency with Python/Scala, modern ML frameworks, and containerized, cloudânative deployment.

Responsibilities

Own model lifecycle (data curation, training, eval, bias/robustness testing, lineage) and MLOps pipelines.
Partner with product and mission SMEs to translate analytic needs into performant, explainable models.
Implement model risk mgmt (traceability, audit, and RMFâaligned documentation) and observability at runtime.
Coach engineers; establish coding, review, and evaluation standards.
Prepare AI models and analytic products for quality assurance testing, documentation, and approval.