AI & MLOps Engineer

AI & MLOps Engineer Place of work: Lublin Technologies we use Expected Terraform Python Databricks Microsoft Azure MLOps Azure DevOps Prometheus Grafana About the project We are seeking an advanced ML Ops Engineer to design and implement the infrastructure required to host, orchestrate, and manage up to 1,500 ML scoring processes within a new Databricks environment. The focus of the role is on operationalizing the ML scoring pipelines by setting up a scalable, secure, and well-monitored platform that integrates with existing Azure DevOps and MLOps tools. This includes designing and implementing data pipelines, automating workflows, and ensuring seamless integration with other systems. Key responsibilities: Design and implement infrastructure for hosting and managing ML scoring processes within Databricks environment. Develop and maintain scalable, secure, and well-monitored platform that integrates with existing Azure DevOps and MLOps tools. Automate workflows and ensure seamless integration with other systems. Collaborate with data scientists to design and implement data pipelines. Ensure compliance with security and governance policies. About the team We are a dynamic team of engineers and data scientists working on cutting-edge AI projects. Our team is passionate about innovation, collaboration, and continuous learning. What we offer Competitive salary and benefits package Opportunity to work on exciting AI projects Collaborative and dynamic work environment Professional development opportunities