Scitls Command Lab Environment (CLE) Ai/mlops

Data Science And Data Engineering

USSTRATCOM is a Combatant Command responsible for strategic deterrence, nuclear operations, and enterprise IT services essential to national security. It oversees Nuclear Command, Control, and Communications (NC3), Joint Electromagnetic Spectrum Operations (JEMSO), Global Strike, and Missile Threat Assessments, working closely with other Combatant Commands, Services, and defense agencies. SCITLS will be a key component that will ensure mission success and the safety of the U.S. and its allies by providing 24/7 IT services and network support for NIPRNet, SIPRNet, JWICS, and SAP/SAR environments.

Command Lab Environment (CLE) AI/Machine Learning Operations (MLOps):

• Implements and manages the infrastructure, tools, and practices needed for model versioning, monitoring, and deployment.
• Ensures that models are well-integrated into operational workflows and maintain consistency.
• Enables the data science team to work more efficiently by maintaining operational stability of machine learning models.
• Researches, designs, and builds AI systems that can learn and make predictions.
• Conducts AI systems experiments and tests to ensure models work as intended.
• Provides engineering support for command lab interactions and integration of Data Operations, MLOps, and DevSecOps in AI/ML.
• Contributes to research and development and performs innovation concept exploration.
• Provides recommendations, regarding emerging developments, technologies, and capabilities in AI/ML, for use within the command.

What You'll Need To Succeed:

• Education and Experience: BA/BS or equivalent and 8+ years of experience
• Required Certifications: GCLD or GSEC or CSSLP; ITIL 4 Foundation ITSM certification or ability to obtain within 9 months of hire
• Desired Certifications: Certified Artificial Intelligence Practitioner (CAIP); or AWS Certified Machine Learning Specialty; or Microsoft Certified Azure AI Engineer Associate; or Oracle Cloud Infrastructure (OCI) AI/ML Certified Architect; or Openshift Container Platform Specialist
• Security Clearance: minimum Top Secret. Must be willing to obtain Top Secret with SCI eligibility. TS/SCI preferred
• Location: Onsite - Offutt AFB, Omaha, NE

*Relocation may be available

GDIT IS YOUR PLACE:

• Full-flex work week to own your priorities at work and at home
• 401K with company match
• Comprehensive health and wellness packages
• Internal mobility team dedicated to helping you own your career
• Professional growth opportunities including paid education and certifications
• Cutting-edge technology you can learn from
• Rest and recharge with paid vacation and holidays

#SCITLS

The likely salary range for this position is $148,750 - $201,250. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours: 40

Travel Required: Less than 10%

Telecommuting Options: Onsite

Work Location: USA NE Offutt AFB

Additional Work Locations:

Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.