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About the Role
Hands-on technical lead responsible for taking AI/ML projects from development to production in Google Cloud Platform (GCP). This role owns architecture, implementation, deployment, and operations.
Responsibilities
- Design and build production-ready AI/ML powered, security related use cases on GCP
- Lead end-to-end deployment from prototype to production with clear quality gates
- Understand, document, and lead the resolution of technical debts
- Implement coding standards, test strategy, data quality checks, alerting mechanisms, and operational runbooks
- Ensure platform reliability, security, and cost efficiency
- Mentor the MLOps and data engineers while remaining hands-on in code and delivery
Requirements
- 8+ years in data/software engineering, including 2+ years in technical leadership
- Proven track record delivering production grade AI/ML use cases on GCP or other cloud providers
- Experience building and operating scalable batch/streaming pipelines
- Experience leading design reviews, enforcing engineering standards, and mentoring data engineers
- Demonstrated support of critical systems in production
- Experience partnering with data scientists/MLE/Ops teams to deliver business outcomes
Skills
- Expert-level Google Cloud experience, especially services used for AI/ML use cases (e.g., BigQuery, Vertex AI, GCS, Dataflow, Pub/Sub, Cloud Run/GKE, Composer/Airflow, IAM, Cloud Monitoring/Logging)
- Expert Python for production-grade data and backend engineering
- Strong SQL and data modeling for analytics, scalability, and operational workloads
- Strong CI/CD and containerization skills (Docker, Git workflows, automated testing, release pipelines)
- Solid cloud security and governance practices (IAM, secrets, least privilege, auditability)
- Strong observability and reliability engineering skills (monitoring, alerting, incident response, SLAs/SLOs)
- Fundamental understanding of AI/ML lifecycle/model development needed to productionize AI/ML systems (training/serving integration, model versioning, pipeline monitoring support)
Work Type
- On-site
Experience Level
- 8+ years in data/software engineering
- 2+ years in technical leadership
About the Company
- At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together.