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.

- E Demonstrated experience and knowledge in Linux and Docker containers.

- E Demonstrated experience and knowledge in some of the main cloud providers (Azure, GCP or AWS).

- E Proficient in programming languages: Python.

- P Demonstrated experience and knowledge in unit and integration testing.

- E Experience with ML/Ops technologies like Azure ML.

- P Experience or Exposure with AI/ML frameworks: PyTorch, Onnx, Tensorflow.

- P Experience designing and implementing CICD pipelines for automation.

- P Experience designing monitoring dashboards (Grafana or similar).

- E Experience with SQL.

- E Experience in the use of collaborative developing tools such as Git, Confluence, Jira, etc.

- E Strong ability to analyze and synthesize. (Good analytical and logical thinking capability).

- E Proactive attitude, resolutive, used to work in a team and manage deadlines.

- E Ability to learn quickly.

- E Agile methodologies development (SCRUM/KANBAN).

- E Minimal work experience of 6 years with evidence.

- E Ability to keep fluid communication written and oral in English, both written and spoken.