Senior Ml Research Engineer - Computer Vision

Required skills

Bachelor's or Master's in Electronics, Physics, Computer Science, or related field, 4-6 years in computer vision and machine learning development, Proficient in both traditional CV techniques (feature extraction, image processing) and deep learning methodologies, Advanced knowledge of Python and C++, with expertise in frameworks such as PyTorch, HuggingFace, OpenCV, and CUDA, Extensive experience in designing, training, and deploying CV models at scale, including distributed training and inference pipelines, Expertise in API design and deployment for ML model services such as FastAPI, TensorRT, Nvidia Triton, and Ray, Strong foundation in probability, statistics, optimisation, linear algebra, and geometry, Skilled in deploying and optimising models for iOS devices, with a focus on real-time data processing and resource efficiency, Ability to articulate technical concepts and collaborate in cross-functional, global teams, A proactive approach, a high degree of ownership, and an eagerness to tackle complex challenges

Preferred skills

Technologies

PyTorch, HuggingFace, OpenCV, CUDA, FastAPI, TensorRT, Nvidia Triton, Ray, Python, C++, iOS

Responsibilities

Define the technical roadmap for computer vision projects, aligning with business goals and customer needs, Mentor and provide technical guidance to junior engineers, foster a culture of collaboration, innovation, and excellence, Lead innovation by staying ahead of trends in computer vision and machine learning, introducing novel techniques to improve model performance and scalability, Oversee the deployment of machine learning models in production, ensuring robustness, efficiency, and seamless integration into systems, Optimise algorithms for edge device deployment, focusing on latency, accuracy, and power consumption, Work closely with internal and external stakeholders to understand product requirements, define project scopes, and deliver actionable solutions, Collaborate with engineering teams to integrate CV models into broader system architectures while maintaining system reliability and performance, Drive best practices in code quality, testing, and documentation, Review and refine code, ensuring modularity, reliability, and adherence to industry standards, Analyse production data to identify opportunities for continuous improvement in algorithms and systems

Seniority

Senior

Domain

Computer Vision, Machine Learning, AI, Image Analysis, Authentication, Fingerprinting