Description We are seeking a talented and experienced Machine Learning Engineer with expertise in Computer Vision to join our dynamic team. In this role, you will focus on developing and deploying production-ready computer vision models leveraging cutting-edge technologies. The ideal candidate will have a strong background in Python programming, deep learning frameworks, and hands-on experience with tools and techniques such as YOLO, U-Net, image segmentation, CNNs/RCNNs, and preprocessing methods like blurring and contrast enhancements. If you thrive in a hybrid work environment and are excited to tackle real-world challenges in computer vision, we want to hear from you! This role in hybrid, onsite 3 days a week in Boston. Key Responsibilities: + Design, develop, and deploy scalable and production-ready computer vision models for real-world applications. + Leverage algorithms and frameworks like YOLO, U-Net, CNNs/RCNNs, and other deep learning architectures for tasks such as image segmentation, object detection, and classification. + Implement pre- and post-processing techniques, including image blurring, contrast enhancements, and other image augmentation pipelines, to optimize model performance. + Write efficient, maintainable, and clean Python code for integrating computer vision models into production systems. + Collaborate with cross-functional teams, including data scientists, machine learning engineers, and product managers, to understand project needs and deliver solutions. + Analyze and improve model performance, accuracy, and efficiency through continuous evaluation and enhancement. + Stay updated on the latest advancements in computer vision and machine learning techniques, incorporating new technologies where appropriate. + Contribute to model optimization and inference processes to ensure scalability and low latency in production environments. + Troubleshoot production issues and implement solutions to improve reliability and performance. + Document technical solutions, workflows, and methodologies for internal and external stakeholders. Requirements + 3+ years of professional experience working as a Machine Learning Engineer or in a related role focused on computer vision. + Strong proficiency in Python and experience with deep learning libraries such as TensorFlow, PyTorch, or Keras. + Hands-on expertise with computer vision models and architectures, including YOLO, U-Net, and CNNs/RCNNs. + Extensive experience with image segmentation, object detection, and related computer vision techniques. + Familiarity with preprocessing methods like image blurring and contrast enhancements to improve model outcomes. + Proven ability to build and deploy production-ready code for machine learning models at scale. + Understanding of best practices for scalable system design, deployment, and maintenance of machine learning pipelines. + Strong problem-solving skills and a passion for tackling complex, unstructured problems in the domain of computer vision. + Effective verbal and written communication skills to articulate solutions to both technical and non-technical stakeholders. Preferred Qualifications: + Master’s Degree or Ph.D. in Computer Science, Data Science, Machine Learning, or a related technical field is preferred. + Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). + Exposure to modern DevOps pipelines and CI/CD workflows for machine learning deployment. + Previous experience working in a hybrid team environment or collaborating with diverse teams. Technology Doesn't Change the World, People Do.® Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles. Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app (https://www.roberthalf.com/us/en/mobile-app) and get 1-tap apply, notifications of AI-matched jobs, and much more. All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information. © 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking “Apply Now,” you’re agreeing to Robert Half’s Terms of Use (https://www.roberthalf.com/us/en/terms) .