Description

You will build and maintain the infrastructure required for the full machine learning lifecycle.

This role is remote.

Responsibilities

• Design and develop ML infrastructure, including workflow management, feature stores, and data discovery tools.
• Implement backend microservices for large-scale distributed systems using gRPC or REST.
• Lead the vision for specific ML Platform services.
• Drive a culture of quality, experimentation, and technical excellence within an Agile environment.

Required Skills

• 5+ years of software engineering experience with 3+ years focused on machine learning.
• Proficiency in Object-Oriented programming using Python or Java.
• Experience with cloud platforms such as AWS or GCP.
• Hands-on experience with containerization using Docker or Kubernetes.
• Ability to build and maintain distributed systems via gRPC or REST.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field.

Preferred Skills

• Experience with Databricks, S3, and Spark.
• Familiarity with graph-based data workflows like Apache Airflow or Meson.

Key Skills

Education

Any Graduate