דרושים MLOps Engineer בתל אביב

• • Clalit Innovation * * is leading MLOps health organization focused on deploying and scaling cutting-edge machine learning solutions for generative AI (GenAI) and predictive modeling, all within our on-premises private cloud infrastructure. As we maintain our current stack and transition to a modern OpenShift-based environment and next year scale out to a public cloud, we seek talented MLOps Engineers to ensure operational excellence and drive innovation. Join us to build robust ML pipelines and support mission-critical AI systems in a collaborative, high-impact environment.
• • Current Tech Stack (On-Premises, to be supported during transition * * ):

• MLFlow for experiment tracking

• Docker for containerization

• Jenkins for CI/CD

• MSSQL for database management

• Azure DevOps Git for version control

• NVIDIA H200 GPUs (32 units) for accelerated computing

• • Target Tech Stack (On-Premises OpenShift AI on Kubernetes: * *

• OpenShift Kubernetes cluster for orchestration

• OpenShift AI for ML workflows

• Running GenAI and predictive models

• Integration with MSSQL and Cloudera for data management

• Transition to public cloud planned in 1-2 years

• • Role Overview: * *

As an MLOps Engineer, you will maintain and optimize our on-premises infrastructure while facilitating the migration to an OpenShift-based private cloud environment. You’ll collaborate with DevOps, DataOps, and DS teams to deploy, monitor, and scale AI models. This is a full-time role with significant growth opportunities during our tech transition.

• • Key Responsibilities * * :

• Design and optimize on-premises ML pipelines across current and target stacks.

• Manage daily operations on NVIDIA GPUs, ensuring model performance and reliability.

• Enhance CI/CD pipelines using ArgoCD and Azure DevOps in a private cloud.

• Lead migration tasks to OpenShift K8s, focusing on AI model integrations.

• Automate deployments and manage MSSQL/Cloudera data flows for GenAI/predictive models.

• • Requirements: * *

• 4-7 years in MLOps/DevOps with experience in on-premises ML deployments.

• Proficiency in Docker, Jenkins, MLFlow, Kubernetes, and MSSQL.

• Familiarity with GPU computing (NVIDIA preferred) and Cloudera or similar big data tools.

• Ability to mentor juniors and collaborate across teams.

• Experience with private cloud infrastructure.

• • Ideal Candidate: * * Versatile engineer adept at managing on-premises AI systems.
• • For additional details, please send your CV to: * * | * * לפנייה למשרה יש להגיש מועמדות * * |
• • and include that you are inquiring about “MLOps Engineer #1107“ * *