Co-develop a dedicated AI infrastructure for HR, while providing hands-on training and mentorship. The goal is to build internal capabilities, enable operational independence, and transition existing AI models into a newly built environment. Experience level: 5+ years Required Skills: Proven experience with GCP services and ML engineering workflows. Strong Python programm[i]ng skills, with the ability to build and debug ML pipelines. Skilled in knowledge transfer: able to explain best practices, architecture choices, and scalable ML setups on GCP. Team-oriented mindset: supports shared goals, takes ownership, and fosters learning. Deep practical knowledge of: Vertex AI: Training, deployment, monitoring, orchestration BigQuery: Scalable analytics and warehousing Cloud Storage: Raw and processed data storage Dataflow: Preprocessing and pipeline orchestration Engine / TPUs / GPUs: High-performance training Cloud Functions / Cloud Run: Model serving and automation IAM: Access control for secure ML workflows Monitoring & Logging: ML system observability Registry: Container and artifact storage IaC: Terraform / Deployment Manager for GCP resources CI/CD: Cloud Build / GitHub Actions integration Auth & Access: OAuth 2.0, IAM roles, service accounts Start: 2025-11-03 End: 2026-04-30 Extension: Possible Remote: 1-2

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