Senior Data & AI/ML Engineer - GCP Specialization Lead

Data & AI/ML Architecture

• Design and implement data architectures for real-time and batch pipelines, leveraging GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Vertex AI, and Cloud Storage.
• Lead the development of ML pipelines, from feature engineering to model training and deployment using Vertex AI, AI Platform, and Kubeflow Pipelines.
• Collaborate with data scientists to operationalize ML models and support MLOps practices using Cloud Functions, CI/CD, and Model Registry.
• Define and implement data governance, lineage, monitoring, and quality frameworks.

Google Cloud Partner Enablement

• Build and document GCP-native solutions and architectures that can be used for case studies and specialization submissions.
• Lead client-facing PoCs or MVPs to showcase AI/ML capabilities using GCP.
• Contribute to building repeatable solution accelerators in Data & AI/ML
• Work with the leadership team to align with Google Cloud Partner Program metrics.

Team Development

• Mentor engineers and data scientists toward achieving GCP certifications, especially in Data Engineering and Machine Learning.
• Organize and lead internal GCP AI/ML enablement sessions.
• Represent the company in Google partner ecosystem events, tech talks, and joint GTM engagements.

We Take Care of Our Own