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MLOps Engineer

Job Description

Position: MLOps Engineer

Location: Fully Remote in Germany

Salary Range: Mid-level 65k - 75k, Senior 80k - 95k

The Company:

My client is a dynamic and innovative technology company at the forefront of cloud solutions. The team is dedicated to empowering businesses with cutting-edge technologies, ensuring they thrive in the ever-evolving digital landscape.

Job Responsibilities:

  • Collaborate with data scientists, software engineers, and other stakeholders to deploy and maintain machine learning models in production environments
  • Design, implement, and manage end-to-end machine learning pipelines, from data pre-processing to model deployment and monitoring
  • Develop and maintain automation scripts and tools to streamline the MLOps workflow
  • Implement and manage infrastructure as code (IaC) for machine learning deployments
  • Ensure the scalability, reliability, and performance of machine learning systems in production.
  • Monitor and troubleshoot issues related to machine learning model performance, data pipelines, and infrastructure.
  • Collaborate with cross-functional teams to integrate machine learning solutions into existing software applications.
  • Stay abreast of industry best practices and emerging trends in MLOps and machine learning technologies
  • Continuously optimize and improve machine learning workflows for efficiency and effectiveness

Candidate Requirements:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • Proven experience as an MLOps Engineer or a similar role in deploying and maintaining machine learning models in production
  • Proficient in programming languages such as Python and knowledge of relevant libraries and frameworks
  • Strong understanding of machine learning concepts, algorithms, and model deployment techniques
  • Experience with containerization technologies such as Kubernetes
  • Experience with Terraform or Ansible
  • Familiarity with version control systems (e.g., Git) and continuous integration/continuous deployment (CI/CD) pipelines
  • Knowledge of cloud platforms ideally with AWS or Azure
  • Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment
  • Strong communication skills to effectively interact with cross-functional teams
  • Fluency in German and English


  • Fully Remote Working
  • Home Office Workstation Budget
  • Company Bonus