MLops engineer The Hague

Key Responsibilities

• Manage and implement version control for datasets and machine learning models.
• Maintain and organize the model zoo to ensure easy access and reuse of models.
• Establish and oversee training and testing pipelines in cloud, on-site, and hybrid infrastructures.
• Monitor and log performance metrics and KPIs to optimize model efficiency.
• Work closely with data scientists and software engineers to streamline ML workflows and deployments.
• Ensure reproducibility, scalability, and automation of machine learning models in production.
• Implement CI/CD pipelines for ML models and ensure best practices in deployment.
• Improve monitoring, alerting, and retraining strategies for ML models in production.

Qualifications & Skills

• 3+ years of experience in MLOps, DevOps, or a related role.
• Strong expertise in machine learning model lifecycle management.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and on-premise infrastructure.
• Proficiency in containerization (Docker, Kubernetes) and orchestration tools.
• Experience with CI/CD pipelines for machine learning.
• Strong programming skills in Python and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Familiarity with version control systems (Git, DVC) and MLflow for experiment tracking.
• Experience with monitoring tools for tracking model performance in production.
• Excellent problem-solving skills and ability to work in a collaborative team environment.

What We Offer

• Competitive salary and benefits package.
• A stimulating work environment with cutting-edge technology.
• Opportunities for professional growth and development.
• A dynamic and innovative team passionate about AI and MLOps.

Please if you interested don't hesitate to contact us.