Caci
StaffAI/MLEngineer
Neural analysis suggests this role is
optimal for Staff candidates.
“Staff AI/ML Engineer at Caci. Skills: AI/ML algorithms, Python, PyTorch, deep learning architectures, AWS, LLMs. Implement machine learning algorithms. Analyze large multi-domain datasets including images, text, time series, and graph data”
What You'll Achieve.
support the development of AI/ML algorithms; advance our nation's most critical missions
Industry & Context.
looking for new challenging problems
Up to 10% travel, TS/SCI with Polygraph clearance
What They're Looking For.
Must Have
B. S. in machine learning, computer science, mathematics, or related field, 8+ 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), Active TS/SCI U. S. Government Security Clearance with Polygraph
Nice to Have
M. S. or PhD in relevant technical field, Experience leading interdisciplinary teams, Experience with MCP, Microsoft Agent Framework, HuggingFace, LangChain, OpenCV, Experience with GenAI Ops techniques (e. g. LLM-as-a-judge) and frameworks (e. g. LangFuse, MLFlow, Arize Phoenix), Experience with LLMs, Transformers, YOLO, GANs, Reinforcement Learning, Linux and AWS experience, Experience with CUDA and Python libraries such as CuPy, Numba, CuSignal, CuDF, etc., Experience in application deployment, virtualization, and containerization (e. g. Podman, Docker, Kubernetes, Rancher), Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
What You'll Do.
Implement machine learning algorithms
Analyze large multi-domain datasets including images
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
How You'll Work.
Team & Collaboration
Implement machine learning algorithms as part of a small interdisciplinary team; Experience leading interdisciplinary teams
Full Job Description
Job Title: Staff AI/ML Engineer Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Local * * * **_The Opportunity:_** This position is for a Staff AI/ML Engineer looking for new challenging problems. You should have experience working in research teams prototyping and developing AI/ML algorithms. You will support the development of AI/ML algorithms in a multitude of disciplines including object detection/classification, natural language processing, time series prediction/classification, reinforcement learning, and large language models. **_Responsibilities:_** * 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 ** _Qualifications:_** _Required:_ * B.S. in machine learning, computer science, mathematics, or related field * 8+ 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) * Active TS/SCI U.S. Government Security Clearance with Polygraph _Desired:_ * M.S. or PhD in relevant technical field * Experience leading interdisciplinary teams * Experience with MCP, Microsoft Agent Framework, HuggingFace, LangChain, OpenCV * Experience with GenAI Ops techniques (e.g. LLM-as-a-judge) and frameworks (e.g. LangFuse, MLFlow, Arize Phoenix) * Experience with LLMs, Transformers, YOLO, GANs, Reinforcement Learning Linux and AWS experience * Experience w
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