Description

You will build and deploy machine learning solutions at scale.

This role is on-site.

Responsibilities

• Translate required functionality into scalable, tested, and configurable platform software.
• Develop features supporting enterprise AutoML, Feature Engineering, and MLOps capabilities.
• Automate metric and metadata management using software packages for platform tenant logging and governance.
• Manage and integrate with on-premise and cloud data sources including RDBMS, Warehouses, BigQuery, and Bucket Storage.
• Recommend appropriate infrastructure components (GPU/CPU) based on compute job requirements.

Required Skills

• 7+ years of professional software engineering experience.
• 2+ years deploying and monitoring models in batch or real-time business processes.
• 2+ years of Python programming with strong software development principles.
• Hands-on experience with GCP, AWS, Kubeflow, DataProc, VertexAI, and DataFusion.
• Familiarity with R and Python for advanced algorithm application.
• Experience integrating with RDBMS and BigQuery systems.
• Ability to work effectively with cross-functional teams in an agile environment.

Preferred Skills

• Experience with enterprise AutoML platforms.

Key Skills

Education

Any Graduate