Senior Machine Learning Engineer – Mlops, Vertexai, Llms, Genai, Ml Model Management
UPS
In, IN, United States
Mlops practices and concepts
Google cloud platform tools
Machine learning model deployment
We are seeking a highly skilled MLOps Engineer to design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP)
Job Summary
We are seeking a highly skilled MLOps Engineer to design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP).
You will work with Vertex AI, Kubernetes (GKE), BigQuery, and Terraform to build scalable and cost-efficient ML infrastructure.
The role involves collaborating with multiple technical teams and business stakeholders to develop state of the art machine learning systems that create value for the business.
Matching Summary
We are seeking a highly skilled MLOps Engineer to design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP).
Skills & Requirements
Must-have
MLOps practices and concepts
Google Cloud Platform tools
Machine learning model deployment
Model monitoring and performance optimization
Infrastructure as Code with Terraform
Python and SQL programming
Nice-to-have
Experience with Agile and Lean principles
Strong ownership and collaboration
Technical documentation skills
Experience with NLP, Gen AI, LLM applications
Cloud billing familiarity
Key Requirements
Bachelor’s Degree in quantitative field or equivalent experience
Experience with GCP MLOps tools and Kubernetes
Understanding of ML algorithms and evaluation metrics
Strong communication skills
Experience in model versioning and CI/CD pipelines