About This Role
Working as a Senior MLOps Engineer, you will design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP). This role focuses on automating ML workflows, optimizing model deployment, ensuring model reliability, and implementing CI/CD pipelines for ML systems, using tools like Vertex AI, Kubernetes (GKE), BigQuery, and Terraform to build scalable and cost-efficient ML infrastructure.
Responsibilities
- Manage the deployment and maintenance of machine learning models in production environments and ensure seamless integration with existing systems
- Monitor model performance using metrics such as accuracy, precision, recall, and F1 score, and address issues like performance degradation, drift, or bias
- Troubleshoot and resolve problems, maintain documentation, and manage model versions for audit and rollback
- Analyze monitoring data to preemptively identify potential issues and provide regular performance reports to stakeholders
- Optimize queries and pipelines
- Modernize applications whenever required
Requirements
- Expertise in programming languages like Python, SQL
- Solid understanding of best MLOps practices and concepts for deploying enterprise-level ML systems
- Understanding of Machine Learning concepts, models and algorithms including traditional regression, clustering models and neural networks (including deep learning, transformers, etc.)
- Understanding of model evaluation metrics, model monitoring tools and practices
- Experienced with GCP tools like BigQueryML, MLOPS, Vertex AI Pipelines (Kubeflow Pipelines on GCP), Model Versioning & Registry, Cloud Monitoring, Kubernetes, etc.
- Solid oral and written communication skills and ability to prepare detailed technical documentation of new and existing applications
- Strong ownership and collaborative qualities in their domain, taking initiative to identify and drive opportunities for improvement and process streamlining
- Bachelor’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience
Nice to have:
- Experience in Azure MLOPS
- Familiarity with Cloud Billing
- Experience in setting up or supporting NLP, Gen AI, LLM applications with MLOps features
- Experience working in an Agile environment, understanding of Lean Agile principles
Important Details
About the Company
UPS is a Fortune Global 500 organization committed to fostering an innovative and rewarding culture with talented teams.
