Senior Machine Learning Engineer – Mlops, Vertexai, Llms, Genai, Ml Model Management
UPS
Google cloud platform (gcp)
Vertex ai pipelines
Kubernetes (gke)
This role involves designing and deploying scalable machine learning pipelines within Google Cloud Platform for a Fortune Global 500 organization
Job Summary
This role involves designing and deploying scalable machine learning pipelines within Google Cloud Platform for a Fortune Global 500 organization.
The successful candidate will ensure model reliability by implementing CI/CD pipelines, monitoring performance metrics, and managing versioning for audit purposes.
You will collaborate with architects and business stakeholders to modernize applications and create state-of-the-art machine learning systems that drive business value.
Matching Summary
This role involves designing and deploying scalable machine learning pipelines within Google Cloud Platform for a Fortune Global 500 organization.
Skills & Requirements
Must-have
Google Cloud Platform (GCP)
Vertex AI Pipelines
Kubernetes (GKE)
Python and SQL programming
Model monitoring and drift detection
Infrastructure as Code (Terraform)
Nice-to-have
Azure MLOPS experience
Cloud Billing familiarity
NLP and Gen AI application support
Agile environment experience
Lean Agile principles understanding
Key Requirements
Bachelor's Degree in quantitative field or equivalent experience