Position: MLOps Engineer
Location: Fully Remote in Germany
Salary Range: Mid-level 65k - 75k, Senior 80k - 95k
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.
- 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
- 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