AI/ML Computer Vision Engineer — Onsite 2-3x/wk, PTO

CACI International Inc; Ashburn (VA); Hybrid; USD 87.000 - 182.000; Vollzeit

Zusammenfassung

CACI International Inc seeks a Mid-Level AI/ML Engineer to join the BEAGLE Agile Solution Factory Team supporting the CBP client in Northern Virginia. You will develop computer vision models, curate datasets, and deploy high-performance inference pipelines for live FMV feeds.

The ideal candidate has 5+ years in software or data science, strong Python, PyTorch/TF, and YOLO experience, plus OpenCV/FFmpeg, data annotation, and Git in an Agile setting.

Qualifikationen

• Bachelor’s degree in CS/Data Science/SE or related field.
• 5+ years software/data science experience, 2+ in CV modeling.
• Proficient in Python with ML libraries and PyTorch/TF.
• Experience with YOLO and OpenCV/FFmpeg.
• Data curation, labeling, and dataset management experience.
• Git version control and Agile collaboration.

Aufgaben

• Train, fine-tune, and evaluate YOLO-based models on proprietary data.
• Ingest and preprocess production video into high-quality training sets.
• Annotate and curate datasets, generate synthetic data as needed.
• Develop inference pipelines to export JSON/Protobuf results.
• Evaluate models with metrics like mAP and FPS; report findings.
• Collaborate in an Agile/Scrum environment to deliver production-ready code.

Kenntnisse

Python

NumPy

Pandas

Scikit-Learn

Git

Benchmarking

Teamwork

Analytical thinking

Agile/Scrum

Ausbildung

B.S. in Computer Science or related

Tools

PyTorch

TensorFlow

YOLO (v8/v9)

OpenCV

FFmpeg

CVAT / LabelImg

Docker

ONNX

TensorRT

Git

Jira / Confluence

Jobbeschreibung

CACI International Inc seeks a Mid-Level AI/ML Engineer to join the BEAGLE Agile Solution Factory Team supporting the CBP client in Northern Virginia. You will develop computer vision models, curate datasets, and deploy high-performance inference pipelines for live FMV feeds.

The ideal candidate has 5+ years in software or data science, strong Python, PyTorch/TF, and YOLO experience, plus OpenCV/FFmpeg, data annotation, and Git in an Agile setting.