Lead MLOps Engineer, Fraud Detection & GCP
Overview
You will lead the design and deployment of enterprise-scale fraud detection platforms, owning the ML lifecycle from model training to production. Your stack centers on Google Cloud Platform and Agentic AI Architecture, with a team of data scientists and platform engineers. You will set the MLOps roadmap and drive automation, making this role pivotal for fraud prevention at scale.
What You'll Do8
- 1Design and implement end-to-end ML pipelines on Google Cloud Platform for fraud detection models.
- 2Build and manage CI/CD pipelines to automate model deployment and rollback processes.
- 3Lead the integration of Agentic AI Architecture to enable autonomous model monitoring and self-healing systems.
- 4Own production model performance, setting up monitoring and observability with tools like Prometheus and Grafana.
- 5Drive the adoption of best practices for model versioning, testing, and governance using MLflow or Kubeflow.
- 6Scale deployment infrastructure with Kubernetes and Docker for high-throughput real-time scoring.
- 7Collaborate with data science teams to optimize feature engineering and model retraining workflows.
- 8Ensure compliance and security in ML systems, managing access controls and data lineage.
Requirements8
- 15+ years of hands-on MLOps experience deploying machine learning models in production.
- 2Expertise with Google Cloud Platform services including Vertex AI, AI Platform, and Cloud Run.
- 3Strong proficiency in CI/CD tools such as Jenkins, GitLab CI, or GitHub Actions.
- 4Proven track record with containerization and orchestration using Docker and Kubernetes.
- 5Experience building and maintaining monitoring solutions using Prometheus, Grafana, or similar.
- 6Hands-on knowledge of Agentic AI Architecture or autonomous systems design.
- 7Solid programming skills in Python and familiarity with ML frameworks like TensorFlow or PyTorch.
- 8Demonstrated leadership in driving MLOps strategy and mentoring junior engineers.
Salary Insight
Salary not disclosed in listing
Location
Required Skills
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