Senior Machine Learning Engineer – MLOps, VertexAI, LLMs, GenAI, ML Model Management
Description For Senior Machine Learning Engineer – MLOps, VertexAI, LLMs, GenAI, ML Model Management
UPS, a global leader in package delivery and logistics, is seeking a Senior Machine Learning Engineer to join their innovative tech team. This role focuses on designing, deploying, and managing machine learning pipelines in Google Cloud Platform (GCP), working with cutting-edge technologies like Vertex AI, Kubernetes (GKE), BigQuery, and Terraform.
The position offers an opportunity to work at a Fortune Global 500 organization with a rich history dating back to 1907. As a Senior ML Engineer, you'll be responsible for automating ML workflows, optimizing model deployment, ensuring model reliability, and implementing CI/CD pipelines for ML systems. You'll work with state-of-the-art technologies including LLMs and GenAI, while collaborating with multiple technical teams and stakeholders.
The ideal candidate should have strong expertise in Python, SQL, and MLOps practices, with a deep understanding of machine learning concepts and algorithms. Experience with GCP tools, model monitoring, and performance optimization is crucial. You'll be part of a company that values innovation and has a global impact, operating in more than 220 countries with over 500,000 employees.
This role offers the chance to work on enterprise-level ML systems that directly impact business operations. You'll be involved in everything from model deployment to performance monitoring, troubleshooting, and optimization. The position requires both technical expertise and strong communication skills, as you'll be interacting with various stakeholders and preparing technical documentation.
Working at UPS means joining a company committed to moving the world forward by delivering what matters. The organization offers a rewarding culture and opportunities to work with talented teams that help you grow professionally. If you're passionate about machine learning, MLOps, and want to make a significant impact in a global organization, this role provides the perfect platform to advance your career while working with cutting-edge AI technologies.
Responsibilities For Senior Machine Learning Engineer – MLOps, VertexAI, LLMs, GenAI, ML Model Management
- Managing the deployment and maintenance of machine learning models in production environments
- Monitoring model performance using metrics such as accuracy, precision, recall, and F1 score
- Troubleshoot and resolve problems, maintain documentation, and manage model versions
- Analyzing monitoring data to preemptively identify potential issues
- Optimization of the queries and pipelines
- Modernization of the applications whenever required
Requirements For Senior Machine Learning Engineer – MLOps, VertexAI, LLMs, GenAI, ML Model Management
- Expertise in programming languages like Python, SQL
- Solid understanding of best MLOps practices and concepts
- Understanding of Machine Learning concepts, models and algorithms
- Understanding of model evaluation metrics and monitoring tools
- Experience with GCP tools like BigQueryML, MLOPS, Vertex AI Pipelines
- Solid oral and written communication skills
- Bachelor's Degree in a quantitative field
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