- Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models.
- Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes.
- Automate the training, testing and deployment processes for machine learning models.
- Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability.
- Implement best practices for version control, model reproducibility and governance.
- Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness.
- Troubleshoot and resolve issues related to model deployment and performance.
- Ensure compliance with security and data privacy standards in all MLOps activities.
- Keep up to date with the latest MLOps tools, technologies and trends.
- 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.
- Bachelor's degree in computer science, Data Science or a related field.
- Robust understanding of machine learning principles and model lifecycle management.
- Experience in Jenkins pipeline development.
- Experience in automation scripting.