AI & MLOps Engineer

AI & MLOps Engineer Place of work: Warsaw Technologies we use Expected Terraform Python Microsoft Azure Databricks MLOps Azure DevOps Grafana Prometheus 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 Grafana tools. This will involve designing and implementing data pipelines, automating workflows, and ensuring seamless integration with other systems. Key responsibilities: Design and implement infrastructure for hosting, orchestrating, and managing ML scoring processes; Develop and maintain data pipelines to feed machine learning models; Automate workflows using Azure DevOps and Python; Ensure seamless integration with existing systems; Collaborate with cross-functional teams to identify and prioritize project requirements; Provide technical guidance and support to team members. Requirements: Bachelor's degree in Computer Science, Data Science, or related field; 3+ years of experience in ML Ops engineering; Strong understanding of Azure Databricks, Python, and Terraform; Experience with MLOps tools such as Azure DevOps, Grafana, and Prometheus; Excellent problem-solving skills; Strong communication and collaboration skills. Benefits: Competitive salary; Comprehensive health insurance; Flexible working hours; Professional development opportunities.