Description

You will build and maintain the infrastructure for machine learning model deployment and operations.

This role is on-site.

Responsibilities

• Deploy and manage machine learning models in production environments.
• Implement and maintain CI/CD pipelines for ML workflows.
• Orchestrate data and ML pipelines using tools like Airflow.
• Develop data processing jobs using Spark and PySpark.

Required Skills

• 5+ years of professional experience in a relevant engineering role.
• Expertise with PySpark and Spark for large-scale data processing.
• Proficiency in Python programming.
• Hands-on experience with ML Frameworks and libraries.
• Strong knowledge of CI/CD principles and tooling.
• Experience with workflow orchestration tools, specifically Airflow.
• Solid understanding of Data Structures and Data Modeling.
• Demonstrated experience in general Data Engineering practices.

Preferred Skills

• Any Graduate degree in Computer Science, Engineering, or related field.

Key Skills

Education

Any Graduate