Randstad Federal is seeking a Machine Learning Ops Engineer in support of a federal program within the IC
location: HERNDON, Virginia
job type: Permanent
salary: $175,000 - 210,000 per year
work hours: 8am to 4pm
education: Bachelors
responsibilities:
What you 'll be doing:
You 'll support a mission office with infrastructure and related services for a data / ML environment. Your duties will include implementation of infrastructure as code with CI/CD and UI components, automation of deployments of new and updated elements of the data pipeline, performance monitoring, auto-scaling, support for integration of new tools and capabilities, disaster recovery and CoOP planning, documentation, and INFOSEC processes. Elements of the environment are to be increasingly containerized and deployed on GPUs.
Required Skills:
- 5 years of experience and bachelor's degree or 10 years of experience.
- Experience with advanced Python programming for data science and analytics.
- Experience with Linux and Bash.
- Experience with Docker & use of command line interface to orchestrate containerization.
- Experience creating unit tests, documentation, and participating in code reviews.
- Experience with ML models.
- Experience with developing CI/CD workflows across multiple environments.
- Experience with management of non-person entities in multiple environments.
- Experience with ELK stack, AWS, and Nvidia Triton.
- Experience with OAuth 2.0 open standard protocol.
- Experience with at least some of: NLP, computer vision, times series, cyber / network analysis.
- Ability to obtain Nutanix certification or Kubernetes certification within 3 months of start.
- TS/SCI w/Poly
qualifications:
- Experience level: Experienced
- Minimum 5 years of experience
- Education: Bachelors
skills:
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).
This posting is open for thirty (30) days.