Develop and transition machine learning prototypes into robust, production-ready systems for real-time analytics
Design and implement scalable ML pipelines and data processing solutions for large-scale datasets
Build and maintain CI/CD processes and automated testing to ensure quality and reliability
Collaborate closely with cross-functional teams to integrate ML solutions into existing system landscapes
Contribute to architectural decisions and technical standards

Degree in Computer Science, Machine Learning, or a comparable qualification
At least 5 years of experience in software engineering or machine learning engineering, ideally in production environments
Strong programming skills (e.g., Python) and experience with at least one additional programming language
Solid understanding of MLOps practices (versioning, deployment, monitoring, continuous improvement)
Experience with container technologies and CI/CD workflows
Nice to have: experience with real-time data, streaming systems, or distributed applications

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Talent Partner