Description

You will lead the deployment of machine learning models into production environments to ensure scalability and robustness.

This role is on-site.

Responsibilities

• Lead the deployment of advanced machine learning models into production environments.
• Design and optimize data pipelines for efficient model deployment using MLOps best practices.
• Implement version control and model tracking to maintain reliable deployment pipelines.
• Monitor deployed models for performance and execute necessary updates or improvements.
• Troubleshoot and resolve production deployment issues while ensuring compliance with data privacy and security regulations.

Required Skills

• 8+ years of experience deploying machine learning models into production.
• Strong programming skills in Python.
• Expertise in MLOps tools and methodologies.
• Experience with Docker, Kubernetes, or TensorFlow Serving for model deployment.
• Knowledge of data engineering and pipeline optimization.
• Experience in deploying scalable machine learning solutions.

Preferred Skills

• Strong analytical and problem-solving abilities.
• Ability to collaborate with data scientists, engineers, and stakeholders to translate requirements into deployment strategies.

Key Skills

Education

ANY GRADUATE