MLOps Engineer

Job Summary

A company is looking for an MLOps Engineer to join their team and contribute to the operationalization of machine learning models.

Key Responsibilities

• Develop and maintain machine learning pipelines for model deployment and monitoring
• Utilize cloud platforms and infrastructure as code to optimize workflows
• Implement CI/CD practices and manage version control for data and models

Required Qualifications

• 3 to 5 years of real-time experience in MLOps or related fields
• Proficiency in Python and machine learning frameworks such as TensorFlow and PyTorch
• Experience with Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP)
• Familiarity with CI/CD pipelines and infrastructure as code tools like Terraform
• Knowledge of Agile methodologies and Linux environments