Description

You will build and deploy machine learning models in a production environment.

This role is on-site.

Responsibilities

• Develop and manage data flow processing using ELT/ETL and big data tools.
• Implement model compression techniques to optimize performance.
• Maintain code, model, and data versioning alongside CI/CD pipelines.
• Manage containerization and virtualization for model deployment.

Required Skills

• 5+ years of experience in machine learning or related engineering roles.
• Proficiency with AI platforms and IDEs.
• Experience with CI/CD workflows.
• Hands-on knowledge of containerization and virtualization.
• Competency in data visualization tools.
• Experience with cloud computing services.
• Familiarity with ML packages and libraries relevant to the project.
• Ability to work with relational and NoSQL databases.
• Strong problem-solving skills and attention to detail.

Key Skills

Education

Any Graduate