Lead Machine Learning Engineer Computer Vision

Lead the design and development of end-to-end computer vision systems, and architect scalable ML pipelines for vision domain. Drive research and adoption of state-of-the-art CV and ML techniques, and collaborate with data engineers to integrate ML workflows into scalable data pipelines.

Requirements

• Bachelor's or Master's degree in Computer Science, Machine Learning, Computer Vision, or related field
• 5+ years of professional experience in computer vision and machine learning engineering, with at least 2+ years in a technical leadership role
• Strong expertise in Python and ML/CV frameworks: PyTorch, TensorFlow, OpenCV
• Proven experience with deep learning architectures (CNNs, RNNs, Transformers, Vision-Language Models)
• Hands-on experience with segmentation, object detection, image similarity, and multimodal approaches
• Experience in designing scalable ML pipelines with tools such as Apache Airflow, Docker, and Kubernetes
• Familiarity with cloud-based ML platforms (AWS Sagemaker, GCP Vertex AI, Azure ML)
• Solid background in model monitoring, explainability, and performance optimization
• Strong leadership and communication skills, with a track record of mentoring engineers and managing cross-team initiatives