**Role: Principal Engineer, ML (Computer Vision)** **Nature of role: Full time – Hybrid – Dallas, TX & Richmond, VA** **Essential Responsibilities:** • Help guide junior developers in computer vision and deep learning fundamentals such as feature extraction, CNNs, supervised machine learning, transfer learning and distributed deep learning. • Serve as an engineering lead on various business delivery and engineering excellence initiatives. • Suggest, collect, and translate requirements into an effective feature roadmap for organization platform capabilities. • Evaluate and recommend tradeoffs of features to the platform that allow use case owners to refine output generation and new technology offerings in the space. • Be a key partner in driving direction and goals for the team, both in terms of individual project impacts but also overall standards for machine learning and AI utilization in the organization. • Guide teams in developing integration, end-to-end, and UAT test strategy as well as testing activities. • Help drive the broader understanding of the use of machine learning and AI by interfacing with key roles in Operations, Legal, Security, and Technology. • Stay on top of industry trends and best practices to continuously improve what we do and ensure our customer experience is the best it can be. • Lead, mentor, and develop other engineers using technical expertise, best practices and industry standards for machine learning and AI systems. **Preferred Qualifications:** • Previous experience deploying large-scale applications on Azure. • Familiarity with MLOps and industry-standard machine-learning Python libraries • Experience with Azure AI services (Azure Machine Learning, Azure Cognitive Services) • Advanced AI/ML specializations (reinforcement learning, deep learning, NLP) • Proficient in an object-oriented programming language (i.e. C#, Java) • 3+ years leading the end-to-end design and development of scalable services to be consumed by the enterprise, including monitoring and production support . • 3+ years’ experience building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies . • Experience with at least one major machine learning framework such as Tensorflow or PyTorch. • Practical experience/theoretical understanding of developing and deploying computer vision deep learning models (e.g., CNN, Detectron, UNET, YOLO etc) at scale in production • Experience in developing generative models such as diffusion models, GANs, and emerging methods ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.