Key Responsibilities:
• Develop and deploy end-to-end microservices-based solutions for batch and real-time ML algorithms
• Build and optimize MLOps pipelines using Kubeflow, Seldon, MLFlow, Docker, and Kubernetes
• Collaborate with Data Scientists to improve ML model development and deployment processes
• Ensure scalability, maintainability, and robustness of ML models in production
• Monitor and troubleshoot ML model performance and infrastructure issues
• Support CI/CD, cloud infrastructure, monitoring, security, and automation processes
• Work with GCP and Azure cloud platforms for deployment and optimization
• Implement logging, monitoring, automated testing, and performance testing
Required Skills:
• 3+ years experience as MLOps Engineer / Machine Learning Engineer
• Strong Python programming skills
• Experience with TensorFlow, PyTorch, scikit-learn
• Strong Kubernetes and Docker experience
• Experience with MLFlow, Kubeflow, and Seldon
• Experience with CI/CD pipelines and automation
• Cloud platform experience, especially GCP and Azure
• Knowledge of ETL, feature engineering, and data processing
• Strong troubleshooting and problem-solving skills
Key Skills
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- Posted
- May 26, 2026
- Type
- Contract
- Level
- Mid-Senior
- Location
- Stockholm County
- Company
- Us3 Consulting
Industries
Categories
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3 roles aligned with this opportunity
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