Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of knowledge to impact the achievement of client, project or service objectives and advocate for ways
Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), youll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing
Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) As a Capital One Machine Learning Engineer (MLE), youll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), youll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and
We are deploying machine learning directly onto custom hardware – and we want you to help drive it from the ground up. This is an initiative where youll have the rare opportunity to architect solutions from scratch, influence
Overview We are seeking a Machine Learning (ML) / Federated-Learning Engineer responsible for developing, implementing, and supporting machine learning solutions within controlled and distributed environments. This role will support the Bounded Use Case B demonstration through controlled model adaptation, fine-tuning, and federated
Machine Learning Engineer, Associate Director – AI Innovation Teams Fitch Ratings is seeking a Machine Learning Engineer to join our new AI Innovation teams in Chicago—a bold initiative building the AI-powered future of financial analysis. Were not fine-tuning existing models or optimizing
Company Description About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes
Basic Qualifications Bachelors degree in Systems Engineering, or a related Science, Engineering or Mathematics field, plus a minimum of 2 years of relevant experience; or Masters degree, plus 6 months of relevant experience. CLEARANCE REQUIREMENTS:Department of
Basic Qualifications Bachelors degree in Systems Engineering, or a related Science, Engineering or Mathematics field, plus a minimum of 5 years of relevant experience; or Masters degree, plus a minimum of 3 years of relevant experience.
Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join
Team Overview This role is part of the Research & Development organization, focused on enabling and evolving enterprise data science capabilities. The team is responsible for protecting existing global data science environments, modernizing data science by
# Machine Learning EngineerApplylocations: IL - Chicagotime type: Full timeposted on: Posted 3 Days Agojob requisition id: R0001509# Job Description:Ventas is a leading S&P 500 company enabling exceptional environments that benefit a large and growing aging population. With
Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), youll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing
Our client is building the next generation of machine learning infrastructure by deploying ML models directly onto custom hardware. This is a rare opportunity to help define an entirely new technology stack from the ground up architecting solutions from
About Us We’re not like other insurance companies. From our specialty products to our business model, our culture to our results — we’re different. Different is who we are, and how we work, interact, deliver and
We are deploying machine learning directly onto custom hardware – and we want you to help drive it from the ground up. This is an initiative where youll have the rare opportunity to architect solutions from scratch, influence
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), youll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and
# Engineer I, Machine Learning Ops CBM LabApplylocations: Chicago, ILtime type: Full timeposted on: Posted Todayjob requisition id: JR-1065210Shirley Ryan AbilityLab is the global leader in physical medicine and rehabilitation for adults and children with the most severe, complex
Sr Data Engineer - GE07BE We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals –