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Senior Computer Vision AI/ML Engineer
CACI International Inc. Lead small teams of developers and researchers implementing AI/ML algorithms for computer vision problems in remote sensing .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI/ML algorithms for computer vision, with a strong focus on training and deploying models in cloud environments. Proven ability to lead teams, mentor junior engineers, and communicate complex concepts effectively to diverse stakeholders.
Highest-signal resume keywords
Active TS/SCI Government Security Clearance5+ Years of Computer Vision AI/ML Development ExperienceProficiency with Python and ML LibrariesExperience with Supervised and Unsupervised LearningExperience Training Convolutional-Based CV Models
ATS Keywords
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Hard Skills
AI/ML Algorithm DevelopmentComputer VisionDeep LearningImage SegmentationSuper ResolutionImage DenoisingImage RestorationMulti-INT FusionSelf-Supervised LearningGraph Convolutional Networks
Soft Skills
Team LeadershipMentoringCollaborationTechnical Communication
Tools & Technologies
PythonPyTorchTensorFlowOpenCVAWS (EC2, S3, Lambda)LinuxVersion Control Tools
Industry Keywords
Remote SensingAutomatic Target RecognitionCloud-Hosted EnvironmentOverhead Imagery DatasetsSAREOOPIR
Tech Stack
Tools & technologiesAWSCloudEC2KerasLinuxNumpyPythonPyTorchRemote SensingScikit-LearnTensorflowTypeScript
About the role
Key responsibilities & impact- Lead small teams of developers and researchers implementing AI/ML algorithms for computer vision problems in remote sensing
- Analyze and preprocess large remote sensing datasets
- Research supervised and unsupervised Automatic Target Recognition solutions
- Research performance benefits of multimodal data fusion for ATR under diverse data collection scenarios
- Train, optimize, and deploy deep learning computer vision models providing analysts with actionable insights
- Review relevant publications, explain cutting-edge concepts to government customers, and apply them to defense and commercial applications
- Write technical documentation supporting code, program capabilities, and user guides
- Mature, optimize, and deploy computer vision algorithms to a cloud-hosted environment
- Lead and mentor junior engineers
- Collaborate with researchers and software developers
Requirements
What you’ll need- Active TS/SCI government security clearance
- B.S. in machine learning, computer science, mathematics, or related field
- 5+ years of Computer Vision 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 Python and Python machine learning frameworks including PyTorch, TensorFlow, Keras, PyTorch Lightning, scikit-learn/scikit-image, and/or OpenCV
- Experience training convolutional-based CV models such as YOLOv3-11 and YOLOX, or transformer-based CV models such as Vision Transformer and Swin
- MS or PhD in machine learning, computer science, computer vision, mathematics, or relevant fields preferred
- Experience with Self-Supervised Learning and student-teacher approaches
- Experience applying AI/ML algorithms to image segmentation, super resolution, image denoising, image restoration, and Multi-INT Fusion
- Experience with Graph Convolutional Networks
- Experience with image processing chains for SAR, EO, and OPIR
- Experience with overhead imagery datasets
- Familiarity with AWS resources such as EC2, S3, and Lambda
- Experience with version control processes and tools
- Experience with Linux
- Experience implementing tracking and fusion, and pattern-of-life algorithms
- Experience in application deployment, virtualization, and containerization
- Ability to work onsite in Aurora, Colorado or King of Prussia, Pennsylvania
- Up to 10% local travel
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