Machine Learning Engineer
Core
Build and deploy machine learning and computer vision solutions (object detection, OCR, predictive modeling) for U.S. federal agencies.
Role type
Senior Machine Learning Engineer (Computer Vision & AI)
Builds
Production ML models, custom algorithms, and scalable data pipelines for federal clients.
Domain
Public Sector / National Security / Computer Vision
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, Computer Vision (YOLO, R-CNN, SSD), SQL, C/C++, Java, Spark ML/MLlib, Jupyter
Preferred skills
Azure Machine Learning, AWS SageMaker, Hadoop, Kafka, DataRobot, H2O.ai, SDLC, DevOps (via careerplan.io/jobs/g0023bb1-machine-learning-engineer-at-itc-digital-solutions-llc)
Technologies
AWS, Azure, TensorFlow, PyTorch, Spark, Hadoop, Kafka, Jupyter, SQL, Python, Java, C/C++, Scala
Responsibilities
Develop custom algorithms and frameworks for complex problems; analyze data and create structured/semi-structured data stores; deploy and scale machine learning solutions; integrate AI capabilities into product designs; present findings and explain solutions to clients; identify use cases for object detection, NLP, and fraud detection.
Seniority
Senior, hands-on IC
