CDO AI/ML Engineer

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Top Secret

Clearance Level Must Be Able to Obtain:

Top Secret

Suitability:

Public Trust/Other Required:

None

Job Family:

Artificial Intelligence

Job Qualifications:

Skills:

Data Engineering, Data Management, Data Science, Machine Learning, Microsoft Power Apps

Certifications:

Security+, CE - CompTIA

Experience:

5 + years of related experience

US Citizenship Required:

Yes

Job Description:

Artificial Intelligence and Machine Learning Senior

The Chief Data Officer (CDO) Artificial Intelligence (AI)/Machine Learning (ML) Engineer develops innovative AI-driven solutions to solve complex problems and enhance mission processes.

Designs, develops, implements and uses machine learning algorithms and models to address business challenges and opportunities, such as predictive analytics, natural language processing, computer vision and recommendation systems.

Deliver detailed Defense CTO solutions to complex AI/ML problems as an AI/ML Engineer. Tailor cutting-edge solutions to the unique USAFE-AFAF requirements.

Support capture and proposal efforts to secure new or re-compete contracts by developing technical solutions, engaging with customers, and generating proposal artifacts.

The AI/ML Engineer provides expert support, analysis and research into large data problems and processes.  Applies advanced technical principles, theories, and concepts.  Contributes to the development of new principles and concepts.  Works on data-centered technical problems and provides solutions which are highly innovative.  Determines and pursues courses of action necessary to obtain desired results.

This position is within the Defense CTO where you will work directly with European program teams to deliver mission-critical results.

What you will need to succeed:

Education:

• Master’s degree in a STEM-related field.

Education and experience requirements may be substituted with:

• A Ph.D. (in subjects described above) and eight years of general experience of which at least six must be specialized experience.
• A Bachelors degree (in subjects described above) and 12 years general experience if which at least nine years must be specialized experience.

Required Experience:

• 10+ years of related experience developing AI/ML systems, data management, cloud-based architectures, and experience working within the Department of Defense
• Expertise in Data Management best practices, design and engineering for large-scale data systems
• Ability to translate end-user’s high-level requirements into detailed analytics to be processed in SIEM, AI/ML custom and cloud-managed solutions.
• Ability to assist in the architecture and development of a DevSecOps, CI/CD analytics development pipeline environment using in-house and Cloud-based technologies.
• Architecting and engineering modern, federated / disparate data stores into a unified data platform including the ability to create/expose data-oriented APIs
• Centralized and distributed database design and engineering that supports flexible indexing and federation of query capabilities
• Data governance design and meta-data and data tag management with robust data encryption and data sharing capabilities.
• Monitoring performance and capacity and advising on any necessary infrastructure changes.
• Defining data retention policies.
• Knowledge and use of Cloud-based technologies and techniques.
• Experience writing proposals for the Federal Government.

Required Technical Skills:

• Data Science
• Data Management
• Data Engineering
• MLOps
• MS PowerApps

Required skills and attributes:

• Oral and written communication, coordination, problem solving, critical thinking, research, documentation/proposal, team inclusion, process-oriented approaches.

Preferred skills:

• Software development
• knowledge of CJADC2, Defense enterprise business systems, networks, and a strong DoD customer understanding.
• Data warehousing with streaming and batch processing.
• Metadata and schema design and management.
• Data correlation and enrichment best practices.
• Data science analytics dataset management.
• REST, API-based web services.
• Data-centered analytics development using technologies.
• AI/ML Ops pipeline development
• Generative AI application development
• Department of the Air Force Data Mesh experience

Clearance: Top Secret

Certifications:

• TESA certification required
• DoD 8570.01M IAT II (e.g., Security+ CE) required

Preferred Certifications:

• Data: Azure Data Engineer or AWS Certified Data Engineer or Equivalent
• ML: AWS ML Specialty or Azure Data Scientist Associate

Travel: ~10%

#GDITPriority #DefenseOCONUS

GDIT IS YOUR PLACE:
● 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

The likely salary range for this position is $116,979 - $149,500. 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.

Total compensation for international positions varies by tax, social security, and immigration statuses, as well as location. Generally, an international assignment may include allowances, premium uplifts, and/or relocation or transportation benefits, above base salary range noted.

Scheduled Weekly Hours:

40

Travel Required:

10-25%

Telecommuting Options:

Remote

Work Location:

International

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.

We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

We connect people with the most impactful client missions, creating an unparalleled work experience that allows them to see their impact every day. We create opportunities for our people to lead and learn simultaneously. From securing our nation’s most sensitive systems, to enabling digital transformation and cloud adoption, our people are the ones who make change real.

GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.