Description

You will design, build, and deploy machine learning solutions on Google Cloud Platform, owning the end-to-end model lifecycle and data processing infrastructure.

This role is on-site.

Responsibilities

• Design and optimize machine learning models for diverse applications.
• Deploy ML solutions and manage infrastructure using GCP services.
• Convert legacy Teradata BTEQ scripts to BigQuery SQL.
• Manage data processing workflows using Dataproc clusters and Composer.

Required Skills

• 5+ years of experience in machine learning engineering.
• Proficiency in Python and Java.
• Expert-level SQL skills.
• Hands-on experience with GCP services, specifically BigQuery, Dataproc, and Composer.
• Familiarity with machine learning libraries and Natural Language Processing (NLP).
• Degree in any graduate field.

Preferred Skills

• Experience with AutoML and H2O.ai.
• Familiarity with DevOps practices and CI/CD pipelines.
• Understanding of NLP and Large Language Models (LLM).

Key Skills

Education

Any Graduate