MLOps Engineer - Python

Title : ML Ops + Python.

Location : PAN India.

Level of experience 6+.

Job Purpose

Analyzing, designing, developing and managing the data pipelines to release scalable Data Science models.

The ML / Ops Engineer is expected to deploy, monitor and operate production grade AI systems in a scalable, automated and repeatable way.

Job Responsibilities

• Create and maintain a scalable code to deliver AI / ML processes.
• Design and implement the pipelines for building and deployment of ML models.
• Design dashboards to monitor a system.
• Collect metrics and create alerts based on them.
• Design and execute performance tests.
• Perform feasibility studies / analysis with a critical point of view.
• Support and maintain (troubleshoot issues with data and applications).
• Develop technical documentation for applications, including diagrams and manuals.
• Working on many different software challenges always and ensuring a combination of simplicity and maintainability within the code.
• Contribute to architectural designs of large complexity and size, potentially involving several distinct software components.
• Work as a member of a team, encouraging team building, motivation and cultivating effective team relations.

Role Requirements :

E=essential, P=preferred.

(ref : hirist.tech)