Description

You will manage the end-to-end lifecycle of machine learning models, from training through production deployment.

This role is on-site.

Responsibilities

• Automate model training, testing, deployment, and retraining processes using CI/CD principles.
• Implement version control for data, code, and models to ensure reproducibility and governance.
• Deploy and manage machine learning services on cloud platforms.
• Maintain pipelines that support continuous model retraining and testing.

Required Skills

• 5+ years of experience in a technical role.
• Strong proficiency in Python.
• Hands-on experience with TensorFlow, PyTorch, or Scikit-learn.
• Experience with AWS, Azure, or GCP and their relevant ML services.
• Practical application of CI/CD principles.
• Knowledge of version control for data and models.
• Any Graduate degree.

Key Skills

Education

Any Graduate