onsite
Machine Learning Engineer - Detection & Tracking - Helsing
ML Engineer
Lead the design, training, and deployment of detection and tracking models for AI‑driven drone platforms, leveraging Python, computer vision, and deep learning frameworks to deliver high‑performance, scalable solutions.
About the role
Key Responsibilities
- Develop and optimize object detection and multi‑object tracking algorithms for autonomous drone applications.
- Train, validate, and fine‑tune deep learning models using large annotated datasets.
- Deploy models to edge and cloud environments, ensuring real‑time inference performance.
- Collaborate with software, hardware, and data teams to integrate models into end‑to‑end systems.
- Monitor model performance in production, implement continuous improvement pipelines.
Requirements
- Strong experience with Python and deep learning libraries (TensorFlow, PyTorch).
- Proficiency in computer vision techniques, including CNNs, YOLO, and Kalman filtering.
- Hands‑on experience with model deployment on edge devices and cloud platforms.
- Excellent problem‑solving skills and ability to work in a fast‑paced, mission‑critical environment.
Skills
pythonmachine learningcomputer visiondeep learningtensorflow