Join Vertiv as an LLMOps Engineer - Cloud/Gen AI

Job Summary:
As an LLMOps Engineer - Cloud/Gen AI at Vertiv, based in Westerville, OH - HQ, you will be at the forefront of building and maintaining infrastructure and pipelines for state-of-the-art Large Language Models (LLMs). Your collaboration with Generative AI Architects and proficiency in automating the LLM lifecycle will be essential to ensure the efficiency, scalability, and reliability of Generative AI models in a production environment.

Key Responsibilities:

• Design, develop, and execute Machine Learning (ML) and LLM pipelines for Large Language Models, covering data acquisition, preprocessing, model training/tuning, deployment, and monitoring.
• Streamline ML/LLM tasks with automation tools like GitOps, CI/CD pipelines, and containerization technologies (Docker, Kubernetes).
• Implement robust monitoring and alerting systems to analyze Large Language Model performance, data drift, and other key metrics, proactively identifying and resolving issues.
• Conduct truth analysis to evaluate the accuracy and effectiveness of Large Language Model outputs against accurate reference data.
• Collaborate with infrastructure, DevOps teams, and Generative AI Architects to enhance model performance and resource utilization.
• Manage and maintain cloud infrastructure (e.g., AWS, Azure) tailored for Large Language Model operations, ensuring cost-efficiency and scalability.
• Stay updated with the latest advancements in ML/LLM Ops and integrate these into our Generative AI platforms and processes.
• Communicate technical and non-technical updates clearly to stakeholders regarding the performance and status of Large Language Models.

Job Requirements:

Basic Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• At least 5 years of experience as an ML engineer within public cloud platforms.
• Strong programming skills in Python and/or other languages.
• Expertise in using cloud platforms (e.g., AWS, Azure) for ML workloads, MLOps, DevOps, or Data Engineering.
• Proven experience in MLOps, LLMOps, or similar roles, with hands-on experience in deploying and managing machine learning and large language model pipelines.
• Understanding of generative AI applications and domains such as content creation, data augmentation, and style transfer.
• In-depth knowledge of Generative AI architectures and methods, including chunking, vectorization, context-based retrieval, and Large Language Models such as Open AI GPT 3.5/4.0, Llama2, Llama3, Mistral, etc.

Preferred Qualifications:

• Strong understanding of cybersecurity principles and best practices to protect data integrity, security, and confidentiality.
• Knowledge of AI ethics and the application of Trustworthy AI principles to ensure the responsible use of AI technology.
• Experience with data engineering and data visualization tools and techniques.
• A passion for learning and exploring new generative AI technologies and methods.

The successful candidate will embody Vertiv’s Core Principles & Behaviors to help us achieve our Strategic Priorities.

Our Core Principles:

Safety. Integrity. Respect. Teamwork. Diversity & Inclusion.

Our Strategic Priorities:

• Customer Focus
• Operational Excellence
• High-Performance Culture
• Innovation
• Financial Strength

Our Behaviors:

• Own It
• Act With Urgency
• Foster a Customer-First Mindset
• Think Big and Execute
• Lead by Example
• Drive Continuous Improvement
• Learn and Seek Out Development

About Vertiv

Vertiv is a global leader in critical infrastructure and data center technology with a $6.8 billion footprint. We ensure the uninterrupted operation of vital applications by integrating hardware, software, analytics, and ongoing services. Our comprehensive portfolio includes