environments. • Collaborate closely with data scientists and software engineers to productionize prototypes into scalable, maintainable solutions. Essential Skills & Experienc: • Hands-on experience with ML Ops tools such as MLflow, Kubeflow, Amazon SageMaker, Vertex AI, orequivalent platforms. • Deep understanding of cloud infrastructure services (AWS, Azure, GCP). • Strong experience with CI/CD practices and containerization tools (Docker, Kubernetes). • Knowledge More ❯
Arlington, Virginia, United States Hybrid / WFH Options
ECCO Select
based retrieval techniques (nice to have). - Familiarity with DevOps tooling (Docker, Kubernetes, Terraform) or infrastructure-as-code practices (nice to have). - Exposure to MLOps frameworks (MLflow, DVC, Kubeflow, SageMaker) (nice to have). ECCO Select is committed to hiring and retaining a diverse workforce. Our policy is to provide equal opportunity to all people without regard to race More ❯
systems. Key Responsibilities Build model lifecycle tooling (deployment, monitoring and alerting) for our predictive models (for example claims cost, conversion, retention, market models) Maintain and improve the development environment (Kubeflow) used by our Data Scientists and Actuaries Develop and maintain pricing analytics tools that enable faster impact assessments, reducing manual work Collaborate with the technical pricing, street pricing and product More ❯
the full machine learning lifecycle, from research to deployment and experience with designing and implementing scalable training pipelines for large datasets. Familiarity with workflow orchestration tools such as Prefect, Kubeflow, Argo, etc. Software engineering fundamentals, including data structures, design patterns, version control (Git), CI/CD, testing, and monitoring. Excellent problem-solving skills and the ability to work through ambiguous More ❯
and central regulations Experience in model interpretability and responsible AI practices. Expertise in data science, advanced experimentation and visualization techniques. Experience in designing and implementing pipelines using DAGs (e.g., Kubeflow, DVC, Ray) Ability to construct batch and streaming microservices exposed as gRPC and/or GraphQL endpoints Experience with Databricks MLflow for ML lifecycle management and model versioning Hands-on More ❯
Machine Learning Engineer - Tooling Experience (Waterford, Ireland) page is loaded Machine Learning Engineer - Tooling Experience (Waterford, Ireland) Apply remote type Hybrid locations Waterford City time type Full time posted on Posted Yesterday job requisition id R-043833 Company Description At More ❯
Karlsruhe, Baden-Württemberg, Germany Hybrid / WFH Options
Cinemo GmbH
per year Requirements: Minimum 1 to 2 years of proven experience in ML-Ops, including end-to-end machine learning lifecycle management Familiarity with MLOps tools like MLFlow, Airflow, Kubeflow or custom implemented solutions. Experience designing and managing CI/CD pipelines for machine learning projects with experience in CI/CD tools (e.g., Github actions, Bitbucket Pipelines) Proficiency in … operations to improve efficiency Implement and manage in-cloud ML-Ops solutions, leveraging Terraform for infrastructure as code Technologies: Airflow AWS BitBucket CI/CD Cloud Embedded GitHub Support Kubeflow Machine Learning Mobile Python Terraform C++ DevOps More: Cinemo is a global provider of highly innovative infotainment products that make every screen an opportunity. Its range of award-winning, fully More ❯
that fosters continuous learning, career growth, and professional development. In this role, you will provide key leadership to a talented team of engineers, contributing directly to projects such as Kubeflow, Ray and MLFlow with a primary focus on delivering fine tuning capabilities across the Red Hat AI product portfolio. We're looking for an individual contributor who is open to … training , continual learning and reinforcement learning techniques across our product portfolio Embrace an upstream first mindset to help our teams become more influential in MLOps focused communities such as Kubeflow Liaise with stakeholder groups and cross-functional teams to deliver new product features Ensure non-functional requirements including security, resiliency, and maintainability are met Use CI/CD best practices More ❯
Overview At Red Hat, our commitment to open source innovation extends beyond our products - it's embedded in how we work and grow. Red Hatters embrace change - especially in our fast-moving technological landscape - and have a strong growth mindset. More ❯
