Machine Learning Engineer (m/w/d) – MLOps & Software Engineering
Core
Implementing data pipelines, container-based analytics platforms, and CI/CD pipelines to execute business requirements using cloud and big data technologies.
Role type
MLOps & Software Engineering Engineer
Builds
Container-based analytics platforms, data ingestion and processing pipelines, and analytics services on AWS, Azure, or GCP.
Domain
Data & Analytics / Cloud Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Data pipeline implementation, container orchestration, CI/CD pipeline development, cloud platform expertise (AWS/Azure/GCP), big data technologies (Hadoop/Kafka), software development (Java/Scala/Python), build tools (Maven/Sbt/Gradle/Git), Infrastructure as Code (Terraform/Ansible/Puppet), AI tool evaluation and application.
Preferred skills
None stated
Technologies
AWS, Azure, GCP, Hadoop, Kafka, Java, Scala, Python, Maven, Sbt, Git, Gradle, Terraform, Ansible, Puppet
Responsibilities
Implement data pipelines and data ingestion; develop container-based analytics platforms; execute business requirements using cloud or on-premises big data technologies; continuously upskill in cloud and software engineering technologies.
Seniority
Mid-level, hands-on IC
