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ML Engineer

High Demand
Average market rate1100-1300 SEK/h

ML Engineers bridge the gap between data science and software engineering, focusing on deploying and maintaining machine learning models in production. They build scalable ML pipelines and ensure models perform reliably in real-world applications.

Skills

Python, machine learning frameworks (TensorFlow, PyTorch, scikit-learn), MLOps tools (MLflow, Kubeflow), cloud ML services, Docker/Kubernetes, data pipelines, model optimization, A/B testing, and monitoring.

Responsibilities

  • Deploy machine learning models to production
  • Build and maintain ML pipelines and infrastructure
  • Optimize model performance and scalability
  • Implement model monitoring and retraining systems
  • Collaborate with data scientists on model development
  • Ensure ML system reliability and maintainability

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