MLOps Engineer

9 month contract Remote, 10am-7pm IST 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) 1 year of experience in ML Ops, and at least 5 years of experience in a Data Scientist position Demonstrated experience and knowledge in Linux and Docker containers Demonstrated experience and knowledge in some of the main cloud providers (Azure, GCP or AWS) Proficient in programming languages: Python Demonstrated experience and knowledge in unit and integration testing Experience with ML/Ops technologies like Azure ML Experience or Exposure with AI/ML frameworks: PyTorch, Onnx, Tensorflow Experience designing and implementing CICD pipelines for automation. Experience designing monitoring dashboards (Grafana or similar) Experience with SQL Experience in the use of collaborative developing tools such as Git, Confluence, Jira, etc.

Strong ability to analyze and synthesize. (Good analytical and logical thinking capability) Proactive attitude, resolutive, used to work in a team and manage deadlines. Ability to learn quickly Agile methodologies development (SCRUM/KANBAN). Minimal work experience of 5 years with at least 1 year in a similar role.

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