MLOps

We are seeking an experienced MLOps Engineer to join our team. As an MLOps Engineer, you will be responsible for deploying and maintaining machine learning models at scale. You will work closely with data scientists, software engineers, and infrastructure teams to ensure the reliability, scalability, and security of our machine learning systems.

Responsibilities:

• Design and implement CI/CD pipelines for machine learning models
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• Develop and maintain infrastructure to support machine learning workloads, including data storage systems, and monitoring tools
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• Collaborate with data scientists to deploy and monitor models in production
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• Develop and maintain automated testing and validation processes for machine learning systems
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• Identify and resolve performance and scalability issues in machine learning systems
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• Implement and enforce security best practices for machine learning systems
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• Stay up-to-date with emerging technologies and best practices in MLOps
  

Requirements:

• 3+ years of experience in MLOps, DevOps, or a related field
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• Experience with containerization technologies (Docker, Kubernetes)
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• Strong programming skills in Python (3.8+)
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• Experience with cloud platforms especially AWS
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• Familiarity with machine learning frameworks (TensorFlow, PyTorch), model weights formats (saved model, onnx, pth)
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• Familiarity with deploying machine learning models at scale (100k+ inferences/day)
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• Strong understanding of CI/CD pipelines and Git version control
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• Experience with monitoring and logging tools (Prometheus, Grafana, ELK)
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• Strong problem-solving skills and ability to work independently and collaboratively in a team environment.

We are seeking a performance-driven, high-energy personality who has several years of experience in the field. Since you will work intensely with teams from many countries solid command of English language is a prerequisite. We offer attractive compensation, unlimited career opportunities and the possibility to work in one of the most exciting software companies in the industry. The position will be remote in any location of choice Europe (outside Russia and Belorussia). Our headquarters are in Berlin, Germany with major offices in Belgrade, Serbia, Lakeland, Florida and in Canada.