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
- Bachelor's 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
