Machine Learning Operation Engineer (MLOps Engineer)

Duties and Responsibilities

• Provides deep technical expertise in the aspects of cloud infrastructure design and API development for the business environments.
• Bridges the gap between data scientists and software engineers, enabling the efficient and reliable delivery of ML‑powered solutions.
• Ensures solutions are well‑designed with maintainability/ease of integration and testing across multiple platforms.
• Possesses strong proficiency in development and testing practices common to the industry.
• Works closely with data scientists, ML engineers, and other stakeholders to deploy ML models.
• Sets up and maintains cloud and edge infrastructure for ML model deployment.
• Designs, implements, and maintains scalable infrastructure for ML workloads.
• Exhibits good verbal and written communication skills.
• Demonstrates a collaborative and oriented approach.

Academic Qualification