Description

Key Skills: Machine Learning, Cloud Operation

Roles and Responsibilities:

• Operationalize machine learning models for production use, ensuring consistent behavior across environments.
• Support the full ML lifecycle, including model updates and production readiness.
• Collaborate with data science and engineering teams to integrate ML capabilities into production systems.
• Apply DevOps/CloudOps practices to improve reliability and operational efficiency of ML services.
• Troubleshoot and resolve issues impacting ML model performance in production.

Skills Required:

• 6 - 9 years of relevant experience
• Machine Learning
• Production ML lifecycle experience
• Operational ownership of ML systems in real environments
• DevOps/CloudOps mindset for running ML in production

Good to Have:

• Additional MLOps/DevOps/CloudOps experience

Education: Any Graduation, Any Post Graduation

Key Skills

Education

Any Graduate