Senior AI-ML Engineer
Listed on 2026-01-19
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Cloud Computing, Data Engineer
Senior AI-ML Engineer
Job Category:
Science. Time Type:
Full time. Minimum Clearance Required to Start: TS/SCI. Employee Type:
Regular. Percentage of
Travel Required:
Up to 10%. Type of Travel:
Local.
CACI is seeking a skilled and experienced Senior-level AI/ML Engineer to join our dynamic team to support a DoD client in Suitland, MD. The ideal candidate will have a strong background in AI/ML development and deployment, with a proven track record of designing and implementing scalable AI solutions on cloud platforms. This role requires advanced knowledge in architecting high-performing AI systems, big data processing, and integrating AI/ML models with existing enterprise systems.
Responsibilities- Design, develop, and deploy scalable AI/ML solutions on cloud platforms.
- Architect high-performing AI systems for various applications, including predictive analytics, natural language processing, and computer vision.
- Implement and manage AI pipelines and tools on cloud environments.
- Integrate AI/ML models with existing enterprise systems and ensure seamless operation.
- Utilize advanced ML techniques and big data processing to enhance model performance.
- Adhere to Responsible AI policies and develop metrics for evaluating AI solutions.
- Collaborate with cross-functional teams to identify opportunities for AI/ML integration.
- Stay updated with the latest trends and advancements in AI/ML technologies.
- Active TS/SCI clearance.
- Bachelor's or Master's degree in Computer Science, Information Technology, Management Information Systems, or related STEM field.
- 6–10 years of experience in AI/ML development and deployment.
- Proven experience in designing and implementing AI/ML solutions and pipeline tools on the cloud.
- Advanced knowledge of architecting scalable and high-performing AI systems for predictive analytics, natural language processing, and computer vision.
- Extensive experience with cloud AI platforms such as Azure Machine Learning, AWS Sage Maker, or Google Vertex AI.
- Demonstrated expertise in big data processing and advanced ML techniques.
- Strong experience integrating AI/ML models with existing enterprise systems and cloud platforms.
- Deep knowledge of programming languages for Machine Learning (Python, R, or similar).
- In-depth knowledge of AI cloud tools and capabilities.
- Understanding of Responsible AI (RAI) policies and development of metrics, measurements, and evaluation methods for emerging and existing areas of AI.
- Azure Solutions Architect
- AI Engineer Associate or equivalent
- AWS Certified Machine Learning
- Security+
- Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
- Knowledge of Dev Ops practices and CI/CD pipelines.
- Familiarity with data visualization tools and techniques.
- Strong problem-solving skills and ability to work in a fast-paced environment.
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers – every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground – in your career and in our legacy.
Your potential is limitless. So is ours.
Learn more about CACI here.
Pay RangeThere are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and…
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