Description

You will lead the design, deployment, and scaling of production-level AI/ML solutions.

This role is on-site.

Responsibilities

• Build and manage end-to-end MLOps pipelines, including CI/CD, for large-scale production projects.
• Design and implement model monitoring pipelines to detect data drift, concept drift, and model drift.
• Deploy and monitor ML and DL-based models in production environments.
• Develop and standardize MLOps frameworks using Python and PySpark.
• Collaborate with data science and infrastructure teams to troubleshoot ML pipelines in production.

Required Skills

• 5+ years of experience in machine learning operations or related roles.
• Hands-on experience with cloud platforms such as Azure, AWS, or GCP.
• Proficiency in Python and PySpark for framework development.
• Proven track record of handling existing ML solutions at scale in production.
• Experience in building optimized AI/ML solution designs.
• Understanding of Responsible AI principles.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate