Data & MLOps Engineer (Mid-level) m/f

📋 Description Design, build, and operate production data and ML pipelines. Collaborate with data scientists, software engineers, and cloud specialists. Deliver secure, scalable data and ML services across lifecycle. Develop APIs and batch services exposing data products and ML capabilities. Build and maintain CI/CD pipelines for data and ML solutions. Deploy containerized workloads with Docker, Kubernetes, and cloud services. 🎯 Requirements 3–5 years in Data Eng, Software Eng, Cloud Eng, or MLOps. Python and SQL proficiency; REST APIs and software engineering basics. ETL/ELT pipelines with Airflow, Azure Data Factory, AWS Glue, Databricks, dbt. Hands-on MLOps: packaging, serving, tracking, lifecycle management. Azure and/or AWS cloud experience. Docker; Kubernetes and Helm knowledge is a plus. 🎁 Benefits Flexible approach to work/life balance. In-person collaboration with clients and teams.