Senior MLOps Engineer

Take your career to the next level with Amaris Consulting as a Senior MLOps Engineer. Become part of an international team, thrive in a global group with €800M turnover and 1,000+ clients worldwide, and an agile environment. Join Amaris Consulting, where you can develop your potential and make a difference within the company.

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WHAT ARE WE LOOKING FOR?

• Strong experience with AWS, including infrastructure deployment, automation, and security at scale
• Hands-on expertise in Databricks, developing and optimizing data and machine learning pipelines (Model Serving & AI Gateway)
• Solid knowledge of Kubernetes, managing clusters and deploying containerized applications
• Practical experience with MLOps tools such as MLflow, Jenkins (CI/CD), and Apache Airflow for ML workflow orchestration
• Experience working in enterprise-scaled ML environments with a focus on reliability, scalability, and performance
• Ability to work autonomously while collaborating effectively within cross-functional engineering teams

WHAT WILL YOU DO?

• Design, implement, and maintain scalable ML infrastructure on AWS
• Develop and optimize ML and data pipelines using Databricks
• Manage and automate containerized xhfqzwm ML workloads with Kubernetes
• Build and improve CI/CD processes for ML models and workflows
• Support ML and GenAI platform challenges in a complex, enterprise environment
• Collaborate closely with engineering teams to ensure robust, secure, and efficient MLOps practices
• Contribute to continuous improvement of the ML platform while maintaining flexibility and independence in your work