Machine Learning Engineer

Machine Learning Engineer:

For one of our globally leading tech clients we are urgently looking for an experienced Machine Learning Engineer for a long contract based in Helsingborg, Sweden

Its paying well and my client can interview asap!

Role Description

Looking for an experienced MLOps Engineer to develop and deploy end-to-end microservices-based ML solutions for both batch and real-time algorithms. The role involves building scalable MLOps pipelines, optimizing ML infrastructure, collaborating with Data Scientists, and ensuring robust production deployments across cloud platforms.

Key Responsibilities

• Develop and deploy microservices-based ML solutions for batch and real-time processing
• Design and optimize MLOps pipelines using Kubeflow, Seldon, MLFlow, Docker, and Kubernetes
• Collaborate with Data Scientists to improve ML model lifecycle and performance
• Ensure scalability, reliability, and maintainability of ML systems in production
• Monitor ML models and infrastructure using Prometheus and Grafana
• Support CI/CD, cloud infrastructure, monitoring, security, and data storage solutions
• Work with GCP and Azure cloud environments for deployment and optimization
• Troubleshoot production issues and optimize resource utilization
• Follow latest MLOps trends and best practices

Must-Have Skills

• Strong Python programming experience
• Hands-on experience with TensorFlow, PyTorch, and scikit-learn
• Expertise in Kubeflow, Seldon, MLFlow, Docker, and Kubernetes
• Experience with GCP cloud platform
• Knowledge of CI/CD pipelines and automated testing
• Experience with monitoring tools like Prometheus and Grafana
• Understanding of ETL, feature engineering, and data processing
• Strong problem-solving and communication skills

If this is you, then please do not delay in applying!