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Leidos

System Administrator/Machine Learning Operations (MLOps)

Chevy Chase, MD

Description

Are you a System Administrator who is interested in developing your skills and deepening your experience supporting the infrastructure, deployment, and maintenance of a machine translation triage application leveraging cutting-edge Artificial Intelligence (AI) / Machine Learning (ML), and Data Science (DS) capabilities?

Come support a major program advancing the state of the art in Machine Learning Operations (MLOps) supporting mission-focused big data analytics and predictive analytics. You will be delivering cutting edge machine learning capabilities to advance national security objectives, swiftly produce and analyze results, and disseminate findings with actionable intelligence insights. While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and, occasionally, some tasks may be performed remotely. Percentage of remote work will vary based on client requirements / deliverables priorities.

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Fun stuff you will do:

- Work closely with a cross-functional agile application development team of data scientists, data engineers, software developers, system engineers, researchers, and data analysts working on the design, building, and optimization of a complex, resource demanding application
- Support multiple simultaneous work packages and take open-ended or high-level guidance, independently and collaboratively provide first-class infrastructure and deployment solutions
- Bring your mix of intellectual curiosity, quantitative acumen, and customer-focus to identify novel approaches to improve the performance of system function through system administration optimizations in partnership with a highly qualified, highly motivated team.

To be successful in this role you need the following (required):

- Bachelor's degree or equivalent with a minimum of eight years of experience in a related field. Two additional years of experience may be substituted for the bachelor's degree.

- 4+ years of experience in system administration preferably in a cloud native environment

- Must have an active TS/SCI clearance and must be able to obtain and maintain a TS/SCI clearance with Polygraph

- Strong experience with Amazon Web Services (AWS/C2S)

  • Strong experience with Linux OS system administration
  • Strong experience application and infrastructure deployment, configuration, and maintenance
  • Proper prerequisites and ability to gain and maintain Privileged User Access (PUA) on the customer's network
  • Experience maintaining hardware in compliance with security policy
  • Proficiency in one or more system administration scripting languages
  • Track record of active learning and creative problem solving
  • Ability to analyze and assess infrastructure and application deployment requirements and determine optimum, cost-effective solutions
  • Ability and desire to work in a fast-paced environment learning new skills quickly as needed

You will wow us even more if you have some of these skills:
- Current TS/SCI with polygraph clearance

  • A significant share of your experience in direct support of military or intelligence community customers, demonstrating progressive technical development and mission-focused outcomes
  • Experience supporting data team operations
  • An interest in data science, data engineering, or machine learning
  • Experience system administration in an on-prem, air-gapped environment
  • Experience configuring and optimizing storage solutions
  • Experience configuring and optimizing networking solutions
  • Experience or a desire to learn
    • Deploying and maintaining Kubernetes applications
    • DevOps and MLOPs
    • IT automation (e.g., SaltStack, Ansible, Terraform, etc.)

- Familiarity utilizing virtualization and distributed file systems, such as Hadoop (or similar distributed file systems) in development and production environments;
- Familiarity using git, svn, JIRA, or other version control and program management technologies;
- Amazon Web Services (AWS) professional certifications;
- Familiarity with NVIDIA GPUs and NVIDIA GPU appliances

#NMECDTP

Original Posting Date:

2024-05-15
While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $87,100.00 - $157,450.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Client-provided location(s): Bethesda, MD, USA
Job ID: Leidos-R-00135744
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • HSA
    • Pet Insurance
    • Mental Health Benefits
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Volunteer Time Off
  • Financial and Retirement

    • 401(K) With Company Matching
    • Stock Purchase Program
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
    • Profit Sharing
  • Professional Development

    • Tuition Reimbursement
    • Promote From Within
    • Mentor Program
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
    • Leadership Training Program