Lead Machine Learning Engineer - Computer Vision

Our client, a pioneer in the AI & Emerging Technologies space, is seeking an innovative and experienced Lead Machine Learning Engineer specializing in Computer Vision to join their state-of-the-art facility in Phoenix, Arizona, US . This senior role is responsible for leading the design, development, and deployment of advanced computer vision models and systems that drive groundbreaking AI solutions. You will spearhead projects from conception through production, guiding a team of talented engineers and researchers. The ideal candidate will possess a deep theoretical understanding and practical expertise in machine learning, deep learning, and computer vision algorithms, with a proven ability to translate complex problems into scalable, efficient solutions. You will work with large-scale datasets, cutting-edge hardware, and sophisticated software infrastructure. Responsibilities include architecting ML systems, optimizing model performance, ensuring production readiness, and mentoring junior team members. Collaboration with product managers, software engineers, and other stakeholders is crucial. If you are passionate about pushing the boundaries of AI and have a strong track record of delivering impactful computer vision applications, we encourage you to apply.

Responsibilities: Lead the design, development, and implementation of cutting-edge computer vision models and algorithms. Architect robust and scalable machine learning systems for real-time applications. Train, fine-tune, and optimize deep learning models for image recognition, object detection, segmentation, and tracking. Manage and mentor a team of machine learning engineers and researchers. Collaborate with cross-functional teams to define project requirements and deliverables. Ensure the production readiness and deployment of ML models in scalable environments. Conduct rigorous experimentation, model evaluation, and performance tuning. Stay abreast of the latest research and advancements in computer vision and deep learning. Develop and maintain ML infrastructure and tooling. Contribute to the technical vision and roadmap for AI/ML initiatives. Qualifications: Master's or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field. 5+ years of experience in machine learning engineering with a strong focus on computer vision. Proven experience leading ML projects and teams. Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and computer vision libraries (e.g., OpenCV). Strong programming skills in Python and experience with ML development environments. Solid understanding of image processing, feature extraction, and classical CV techniques. Experience with model deployment, MLOps, and cloud platforms (AWS, Azure, GCP) is highly desirable. Excellent analytical, problem-solving, and critical thinking skills. Strong leadership, communication, and collaboration abilities.