Machine Learning Engineer (MLOps) (m/w/d)
Core
Design and optimize data pipelines and MLOps workflows to transform raw data into reliable insights for analysis and AI applications.
Role type
MLOps Engineer (Data Engineering focus)
Builds
Reliable, secure, and high-quality data pipelines and ML model deployment workflows
Domain
Industrial IoT / Predictive Maintenance / Azure Cloud
Deliverable
production ML models
Required skills
Python, SQL, Big Data technologies (Hadoop, Spark), Azure Databricks, Azure Data Factory, MLOps principles, Git, ETL processes
Preferred skills
Databricks platform experience, Feature Engineering, Model Serving, Data Governance
Technologies
Azure, Azure Databricks, Azure Data Factory, Hadoop, Spark, Git
Responsibilities
Design, build, and maintain data pipelines; Implement MLOps practices for model lifecycle management; Develop and optimize ETL processes; Ensure data quality, reliability, and security; Monitor pipelines and resolve disruptions; Document data lineage and resources; Participate in code reviews.
Seniority
Mid-Senior, hands-on IC