ML Ops Engineer

Work Location: Hyderabad/Bangalore/Chennai/Noida

What Gramener offers you

Gramener will offer you an inviting workplace, talented colleagues from diverse backgrounds, career path, steady growth prospects with great scope to innovate. Our goal is to create an ecosystem of easily configurable data applications focused on storytelling for public and private use.

Roles and Responsibilities

• Design the data pipelines and engineering infrastructure to support enterprise machine learning systems at scale.
• Design and implement cloud solutions, build MLOps on cloud (Azure, AWS).
• Take offline models that data scientists build and turn them into a real machine learning production system.
• Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Airflow, or similar tools.
• Conduct data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality.
• Identify and evaluate new technologies to improve the performance, maintainability, and reliability of machine learning systems.
• Support model development, with an emphasis on auditability, versioning, and data security.

Qualification

• 6+ years of Data Science experience with at least 2 years into MLOps, Azure ML Studio.
• Demonstrated ability to analyze results to make accurate conclusions.
• Good command over database management, development environments.
• Strong time management and organizational skills.
• Comfortable articulating your thoughts and demonstrating value in your work.

About us

We help consult and deliver solutions to organizations where data acts as the core of decision making. We undertake strategic data consulting for organizations in laying out the roadmap for data-driven decision making. It helps organizations to convert data into a strategic differentiator. Through a host of our product and Solutions, and Service Offerings, we analyze and visualize large amounts of data.

To know more about us visit Gramener Website and Gramener Blog.