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Senior AI/ML Engineer
CACI International Inc. Implement machine learning algorithms as part of a small interdisciplinary team .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in implementing machine learning algorithms and analyzing multi-domain datasets, with proficiency in Python and relevant ML libraries. Capable of providing training and mentoring while understanding deployment pipelines and cloud computing resources.
Highest-signal resume keywords
Machine Learning DevelopmentPython ProficiencyAI/ML Algorithm SupportActive TS/SCI Security ClearanceDeep Learning Architectures
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningDeep LearningSupervised LearningUnsupervised LearningObject DetectionNatural Language ProcessingReinforcement LearningVersion ControlData AnalysisTechnical Documentation
Soft Skills
MentoringTeam CollaborationInterdisciplinary Team Leadership
Tools & Technologies
Python LibrariesPyTorchOpenCVAWSDockerKubernetesGitHuggingFaceLangChainCUDA
Certifications & Qualifications
Active TS/SCI Security Clearance
Industry Keywords
AIMLData ScienceCloud ComputingVirtualizationContainerizationComputer ScienceMathematicsInterdisciplinary TeamsResearch Publications
Tech Stack
Tools & technologiesAWSCloudDockerEC2KubernetesLinuxNumpyPythonPyTorchTypeScript
About the role
Key responsibilities & impact- Implement machine learning algorithms as part of a small interdisciplinary team
- Analyze large multi-domain datasets including images, text, time series, and graph data
- Review and apply cutting-edge research publications
- Create technical documentation and user guides
- Understand training and deployment pipelines including AWS services
- Provide training and mentoring to team members
- Support development of AI/ML algorithms across object detection/classification, natural language processing, time series prediction/classification, reinforcement learning, and large language models
Requirements
What you’ll need- B.S. in machine learning, computer science, mathematics, or related field
- 5+ years of AI/ML development experience
- Proficiency with Python and ML libraries such as PyTorch, Lightning, OpenCV, NumPy, Polars
- Experience with supervised and unsupervised learning
- Experience with deep learning architectures
- Experience contributing on a team using version control (e.g. git, GitLab, Bitbucket)
- Willingness to obtain and maintain an Active TS/SCI U.S. Government Security Clearance; clearance must be granted prior to start date
- Up to 10% travel required
- Desired: MS or PhD in relevant technical field
- Desired: Active TS/SCI U.S. Government Security Clearance
- Desired: Experience leading interdisciplinary teams
- Desired: Experience with LLMs, Transformers, YOLO, GANs, Reinforcement Learning
- Desired: Experience with MCP, Microsoft Agent Framework, HuggingFace, LangChain, OpenCV
- Desired: Linux and AWS experience
- Desired: Experience with CUDA and Python libraries such as CuPy, Numba, CuSignal, CuDF, etc.
- Desired: Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
- Desired: Familiarity with AWS cloud computing resources such as EC2, S3, Lambda, etc.
Benefits
Comp & perks- Flexible time off benefit
- Robust learning resources
- Healthcare benefits
- Wellness benefits
- Financial benefits
- Retirement benefits
- Family support benefits
- Continuing education benefits
- Time off benefits
- Competitive compensation
- Learning and development opportunities