Senior Machine Learning Operations Engineer

About the Company

ZeroMark builds AI-driven counter-drone systems that actually work in combat. We transform standard weapons into AI-powered platforms that detect, track, and neutralize drone threats. Our technology is field-proven, validated from helicopters and tested alongside Tier-1 units.

Responsibilities

• Design, develop, and implement end-to-end machine learning pipelines from ingestion to deployment
• Collaborate with software engineering teams to integrate ML models into existing systems
• Work with computer vision specialists to optimize ML for image and video analysis, object detection, and tracking
• Research and evaluate new ML algorithms, tools, and technologies
• Perform rigorous model testing, validation, and performance tuning for real-world scenarios
• Contribute to MLOps best practices, version control, and reproducible research
• Mentor junior engineers and communicate technical concepts to stakeholders

Requirements

• Bachelor's or Master's degree in Computer Science, ML, AI, or a related quantitative field
• 5+ years of experience in machine learning engineering with production deployment experience
• Strong proficiency in Python and ML libraries like TensorFlow, PyTorch, or scikit-learn
• Solid understanding of supervised, unsupervised, and reinforcement learning
• Experience with model architectures such as CNNs, RNNs, and Transformers
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)
• Experience with MLOps tools and practices
• Experience deploying edge systems and using TensorRT
• Deep knowledge of C++ and Python

Preferred Qualifications

• Experience in defense or aerospace industries
• Understanding of adversarial robustness and real-time constraints in defense applications
• Experience with computer vision tasks like segmentation or tracking
• Familiarity with real-time ML and embedded systems
• Contributions to open-source projects or relevant publications