Job Description

Role - AI Developer

About Vertiv

At Vertiv, we design, build, and service products and solutions that keep critical applications running 24/7. From pioneering precision cooling for mainframes to delivering integrated power, thermal, and infrastructure management solutions for today's digital ecosystem, Vertiv continues to enable the world's most vital technologies.

Vertiv operates globally with a comprehensive portfolio spanning power, thermal, IT infrastructure, software, and services-supported by nearly 250 service centers worldwide. As demand for digital services and computing capacity accelerates, Vertiv is at the forefront of innovation, helping customers deploy scalable, resilient, and efficient solutions faster and more costeffectively.

Role Overview

Vertiv is undergoing a significant digital transformation, and Artificial Intelligence plays a central role in reshaping how we engage customers, optimize marketing performance, and support datadriven decisionmaking.

We are seeking an AI Developer to join the Global Customer Insights team within Marketing. This role will focus on designing, developing, and deploying AI and Machine Learning solutions that unlock insights from Pricing, marketing, customer, commercial, and thirdparty data.

The AI Developer will contribute to Vertiv's datadriven initiatives by delivering predictive models, advanced analytics, and AIpowered applications that improve customer centricity, marketing effectiveness, and business outcomes globally.

This position offers the opportunity to work in a multidisciplinary, global environment, collaborating with senior stakeholders across regions and functions, and shaping the practical application of AI at enterprise scale.

Key Responsibilities

The AI Developer will primarily focus on Marketing, Pricing and Customer Insight data domains, including but not limited to:

Customer master and behavioral data
Campaign, promotion, and engagement data
Customer value, segmentation, and lifecycle metrics
Channel partner and thirdparty data
Product, lead, opportunity, and commercial performance data
Pricing

Core Responsibilities

Design, develop, and maintain AI/ML and predictive models to support Marketing, Pricing and Customer Insight use cases
Translate business challenges into AIdriven solutions, partnering with Marketing, IT, and Analytics stakeholders
Ensure timely, accurate, and consistent data ingestion for marketing dashboards, reports, and analytical models
Perform data validation and accuracy checks across source systems and analytical platforms
Identify opportunities to automate data collection and improve data processes, quality, and governance
Explain AI/ML concepts, model outcomes, and limitations clearly to business and leadership audiences
Promote responsible, ethical, and transparent AI practices across all solutions

Essential Job Functions

Participate in functional and solution design, including process mapping, scenario design, prototyping, testing, training, and support definition
Document solution architecture, model logic, assumptions, and lessons learned
Design and develop AI/ML models aligned to project objectives and performance metrics
Convert AI/ML models into scalable APIs for enterprise consumption
Perform statistical analysis and feature engineering on large, complex datasets
Support the full AI lifecycle: definition, development, implementation, deployment, and upgrades
Manage AI project infrastructure, including development, experimentation, and production workflows
Support data acquisition strategies to ensure required depth, breadth, and quality of data
Collaborate with IT and Data teams to design secure, efficient, and scalable data and AI infrastructure
Monitor, sustain, and report on data quality, compliance, and model performance
Actively collaborate across teams and geographies, building strong working relationships
Communicate project status, risks, and outcomes clearly to stakeholders

Required Qualifications

4 to 6 years of handson experience applying AI/ML to realworld business or enterprise solutions
Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or related field
Strong experience with Python, Machine Learning, Deep Learning, and NLP
Handson experience with TensorFlow, PyTorch, or similar frameworks
Experience working with Generative AI models (e.g., GPT, BERT or similar)
Knowledge of prompt engineering and finetuning techniques for GenAI models
Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker/Kubernetes)
Familiarity with CI/CD pipelines for AI/ML model development and deployment
Proficient with tools such as Jupyter Notebook, Git, MLflow
Strong SQL skills experience with data platforms such as Snowflake is a plus
Solid understanding of algorithms, data structures, and software engineering best practices
Advanced knowledge of statistics, probability, and linear algebra
Experience handling large-scale datasets and writing efficient, productionready code

Soft Skills & Professional Competencies

Strong analytical, critical thinking, and problemsolving skills
Ability to work effectively in a matrix and global operating model
Excellent time management and organizational skills
Strong communication and presentation skills, including with nontechnical stakeholders
Understanding of key business and financial performance metrics
Fluency in English (written and spoken)

AI Developer Specialist