Job Summary:

As a GCP Machine Learning Engineer, you will drive technology innovation by delivering world-class machine learning solutions. You will integrate GCP-native and third-party technologies to build scalable data infrastructures, focusing on modernizing data pipelines and machine learning platforms. You will collaborate with implementation teams to manage data workflows from ingestion to advanced visualization.

Key Responsibilities:

• Lead the design and deployment of high-performance ML solutions.
• Architect secure, reliable data-centric ML services in GCP.
• Implement end-to-end ML analytics, leveraging tools like Vertex AI and AutoML.
• Provide thought leadership on Big Data and ML strategies.
• Support data migration and transformation projects, applying MLOps for GenAI deployment.

Required Experience:

• Data Platform Architecture: 3+ years of GCP data engineering and curation.
• Data Modeling: 3+ years with BigQuery, BigTable.
• Vertex AI: 1+ years developing ML models.
• MLOps: 1+ years in GenAI model deployment.

Qualifications:

• 5+ years of cloud platform experience, including 2+ years in GCP data services.
• Proficiency in Java, Python for pipeline development.
• Bachelor's degree or equivalent work experience.
• Google Professional Machine Learning Engineer certification required.