MLOps Engineer

Responsibilities

• 1. Design, develop, and implement MLOps pipelines for the continuous deployment and
• integration of machine learning models
• 2. Collaborate with data scientists and engineers to understand model requirements and
• optimize deployment processes
• 3. Automate the training, testing and deployment processes for machine learning models
• 4. Continuously monitor and maintain models in production, ensuring optimal
• performance, accuracy and reliability
• 5. Implement best practices for version control, model reproducibility and governance
• 6. Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness
• 7. Troubleshoot and resolve issues related to model deployment and performance
• 8. Ensure compliance with security and data privacy standards in all MLOps activities
• 9. Keep up to date with the latest MLOps tools, technologies and trends
• 10. Provide support and guidance to other team members on MLOps practices

Required skills and experience

• 3-10 years of experience in MLOps, DevOps or a related field
• Bachelors degree in computer science, Data Science or a related field
• Strong understanding of machine learning principles and model lifecycle management
• Experience in Jenkins pipeline development
• Experience in automation scripting