MLOps Engineer (Remote Germany)
We’re on the lookout for a skilled MLOps Engineer to join a fast-growing tech company we are working with. In this role, you’ll work closely with data scientists, DevOps, and software engineering teams to streamline ML lifecycle processes and help deliver impactful ML solutions.
What You’ll Do
As an MLOps Engineer, you will:
* Collaborate with cross-functional teams to build scalable infrastructure, supporting a platform that serves hundreds of customers.
* Design and implement reliable, scalable environments for training, testing, and deploying machine learning models.
* Establish robust monitoring and alerting systems to ensure optimal model performance in production.
* Drive efficiency and cost-effectiveness by improving resource allocation for model training and inference.
* Apply security best practices and maintain compliance with relevant standards.
About You
You’ll be a great fit if you have:
* A bachelor’s degree (or equivalent experience) in computer science, engineering, or related fields.
* 5+ years of hands-on experience in data science, DevOps, or data engineering.
* Proficiency in ML frameworks like MLFlow or Kubeflow, along with familiarity with infrastructure-as-code.
* Experience with AWS and Databricks; strong familiarity with CI/CD in cloud environments.
* Knowledge of tools like Apache Airflow, Argo Workflows, and Kubernetes in an ML context (a strong plus).
* Familiarity with monitoring tools like Datadog or Prometheus and a security-focused approach to infrastructure.
* Excellent problem-solving skills, attention to detail, and the ability to communicate effectively.
* Fluent English proficiency.
Salary range: €80,000 - €100,000
Apply for more information, I will be in contact with the candidates who look to be a good fit!