Senior ML Engineer - Computer Vision

Our client is a fast-growing tech company specializing in AI-driven solutions, and they are looking for a talented Senior Machine Learning Engineer with a focus on Computer Vision. This role is crucial for developing and deploying advanced vision systems that power innovative products. You will be responsible for designing, implementing, and optimizing machine learning models for image and video analysis, object detection, image segmentation, and other vision-related tasks. The ideal candidate will have a strong foundation in ML principles, extensive experience with computer vision techniques, and a proven ability to translate research into production-ready code.

As a Senior ML Engineer, your primary duties will involve architecting and building robust ML pipelines for computer vision applications. You will work with large datasets, preprocess data, train models using state-of-the-art frameworks like TensorFlow or PyTorch, and evaluate their performance rigorously. Your responsibilities will also include deploying these models into scalable cloud environments (AWS, GCP, Azure) and monitoring their performance in production. You will collaborate closely with product managers, software engineers, and researchers to define project requirements, brainstorm solutions, and deliver high-quality features. This fully remote position offers the flexibility to work from anywhere while contributing to impactful AI projects. You will be expected to stay up-to-date with the latest advancements in computer vision and machine learning, and to contribute to the team's technical roadmap.

We require a Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field, with a specialization in Machine Learning or Computer Vision. A minimum of 5 years of professional experience in developing and deploying machine learning models, with a significant focus on computer vision, is essential. Strong programming skills in Python and proficiency with ML libraries such as TensorFlow, PyTorch, OpenCV, and Scikit-learn are mandatory. Experience with cloud platforms and MLOps practices (e.g., Docker, Kubernetes, CI/CD) is highly desirable. Excellent problem-solving abilities, a keen eye for detail, and strong communication skills are crucial. The ability to work independently, manage your time effectively, and contribute positively to a collaborative team environment is vital. This is a fantastic opportunity to shape the future of computer vision technology for our client in Phoenix, Arizona, US .