MLOps Engineer

Key Responsibilities:-

• Design, develop, and implement MLOps pipelines for the continuous deployment an 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

Job Type: Full-time

Pay: Up to ₹1,700,000.00 per year

Experience:

• MLOps: 3 years (Required)

Work Location: In person