Fraud Team GCP ML Optimisation (4M Contract) to HK130K pm
Title: Fraud Team GCP ML OptimisationDuration: 4-month contract (to end 2026) Salary: up to HKD 130,000 per month (depending on experience) Core resource should be on a senior consultant level ( Preferably Phd. Level ) - atleast 20+ exp .
Role summary - Outcome-based optimisation assessment , implementation-ready recommendations role, with explicit expectations for hands-on analysis on optimizing fraud Models , ML platform on Google Cloud by reducing run-cost & Improving performance and reliability across GCP infrastructure, ML pipelines .You'll apply strong engineering discipline and collaborate with IT Infra , data scientists and fraud stakeholders to deliver measurable compute and inference savings.
- Produce workable, implementable recommendations with effort/cost savings
- Provide configuration-level and code-level guidance
Key responsibilities - GCP engineering: Hands-on design and diagnostics; optimise compute/storage/network trade-offs to reduce run-cost; implement monitoring and observability for cost, performance, and reliability.
- Fraud ML modelling support: Support building, validating, and deploying fraud/ML models end-to-end, with demonstrated cost savings (e.g., reduced compute, faster inference, improved automation).
- ML/data pipelines: Optimise pipelines from ingest → transform → feature creation/serving → training/inference, focusing on cost efficiency, performance, and resilience.
- Big data & distributed processing: Develop and tune large-scale batch/stream workloads (Spark or similar); improve job efficiency, stability, and operational readiness in production.
- Software engineering: Strong Python + SQL; apply CI/CD, automated testing, modular design, and disciplined code reviews.
Desired (bonus) - Feedzai: Exposure to or implementation experience with Feedzai (integration, performance tuning, operationalisation).
