Responsibilities:

- 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.

- 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.