MetroStar

Senior AI Engineer

Washington, D.C.
USD 165k - 207k
AI Machine Learning Ray Dask Kubeflow KServe MLflow Kubernetes
Description

Sr. Al Engineer I (6215)

Location: Hybrid - Local to D.C. metro area

Department: USG-1-TO7

As a Sr. Al Engineer I, you’ll work as part of a collaborative and high-performing team providing your expertise to deliver technical solutions within the highest levels of the federal government.

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!

What you’ll do:

  • Lead the design, deployment, and maintenance of secure and scalable AI infrastructure to support the execution of Al workloads across on-prem and cloud environments.
  • Architect and manage compute platforms, storage systems, and containerized environments optimized for Al inference and data processing while ensuring system reliability, performance, and observability.
  • Collaborate with cross-functional teams to integrate Al models, Al services, and runtime environments into operational pipelines.
  • Provide subject matter expertise on Al infrastructure and Al integration to the government customer; and establish/maintain a high level of customer trust and confidence with your knowledge and skills through your creativity to provide innovative solutions that fit the customer’s needs.

What you’ll need to succeed:

  • Active Top Secret with SCI eligibility security clearance.
  • BA/BS degree in IT related field (e.g., IT, Cybersecurity, Computer Science, Information Systems, Data Science, or Software Engineering); 8140 certification in in lieu of degree.
  • Experience in deploying and managing AI/ML workloads (e.g., Ray, Dask, Kubeflow, KServe, MLflow) with Kubernetes.
  • 5 years of experience in designing, deploying, operating, and maintaining Al-related infrastructure
  • 5 years of experience in designing, deploying, operating, and maintaining containerized or virtualized infrastructure.
  • Demonstrated experience supporting projects of similar size, scope, and complexity.

SALARY RANGE: $165,000 - $207,000

The salary range for this position is determined based on qualifications, skills, and relevant experience. The final salary offered will be determined based on several factors including: 

  • The candidate's professional background and relevant work experience
  • The specific responsibilities of the role and organizational needs
  • Internal equity and alignment with current team compensation
  • This role is also eligible for additional compensation, subject to the terms and policies of MetroStar, which may include:
    • Performance-based bonuses
    • Company-paid training and/or certifications
    • Referral bonuses

To apply for this position, please submit your resume via the form below or through our careers page: https://www.metrostar.com/jobs/

Application Deadline:  Applications will be accepted on a rolling basis until the position is filled; candidates are encouraged to apply as early as possible for full consideration.

Additional Compensation: This role may also be eligible for bonuses and/or additional incentives based on individual and company performance.

Benefits: All full-time employees are eligible to participate in our benefits programs:

  • Health, dental, and vision insurance
  • 401(k) retirement plan with company match
  • Paid time off (PTO) and holidays
  • Parental Leave and dependent care
  • Flexible work arrangements
  • Professional development opportunities
  • Employee assistance and wellness programs

Like we said, we are big fans of our people. That’s why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture code and benefits. Plus, check out our accolades.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment based on merit and without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.

 What we want you to know:

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

 Not ready to apply now? 

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MetroStar
MetroStar

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