MLOps Engineer

Description :

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