Machine Learning Engineer

NT Concepts is an innovative company dedicated to solving critical national security challenges. The Machine Learning Engineer will develop and deploy computer vision and machine learning solutions, automate MLOps workflows, and integrate models into secure, scalable cloud-based systems supporting national security missions.

Responsibilities:

• Prototype to Production: Support the full machine learning lifecycle, taking computer vision models from experimentation and notebooks into containerized, high-throughput production microservices
• Mission Alignment: Work closely with mission partners, domain experts, and technical teams to understand real-world operational challenges and translate them into practical ML requirements
• MLOps & Pipeline Automation: Build, maintain, and optimize robust pipelines for data preparation, model training, validation, versioning, deployment, and monitoring using modern tools (such as MLflow, Kubeflow, and GitLab CI/CD)
• Model Development & Tuning: Train, fine-tune, and evaluate deep learning algorithms for computer vision tasks (e.g., object detection, classification, segmentation, tracking)
• System Integration: Collaborate with cross-functional software engineers and cloud architects to integrate ML models cleanly into larger enterprise systems and secure cloud infrastructures
• Optimization & Governance: Optimize inference performance, apply secure coding practices, and monitor models for drift and reliability once deployed