MLOps Engineer

MLOps Engineer focuses on build ml deployment pipelines.

What the role involves

• Build ML deployment pipelines.
• Implement CI/CD for machine learning workloads.
• Automate model retraining and validation.
• Establish model monitoring and observability.
• Managing ML infrastructure and environments.
• Ensure compliance and governance requirements.

Skills and requirements

• Monitoring Tools.
• Bachelor's degree in Computer Science or related field.
• 5+ years of MLOps or ML Engineering experience.
• Mandatory Industry Experience.

Candidate fit

• technical judgement, safe working habits, careful diagnostics, and practical problem-solving