Manager, Data Science (GenAI Solutions & ML Engineering)

What you’ll need to succeed as a Manager, Data Science & AI at XPO

Minimum qualifications:

Bachelor’s degree or equivalent related work or military experience

5+ years of experience in Machine Learning Engineering, Applied AI, or MLOps, including hands-on development of ML and Generative AI solutions

3+ years of experience leading and developing high-performing technical teams

Strong technical foundation in end-to-end AI systems, such as:

Designing and implementing scalable MLOps pipelines (training, CI/CD, deployment, monitoring, governance)

Building production-grade ML inference services and APIs (batch and real-time)

Developing and deploying Generative AI solutions, including LLM-powered applications and RAG pipelines

Supporting Computer Vision or multimodal models in production environments

Proficiency in Python and modern ML frameworks (e.g., PyTorch), with demonstrated experience taking AI solutions from prototype to enterprise-scale deployment

Experience integrating AI systems with enterprise applications and data platforms

Strong communication skills with the ability to influence engineering, product, and business stakeholders

Preferred qualifications:

Master’s degree or PhD in Computer Science, Engineering, Data Science, or related field

Experience building and scaling enterprise AI platforms providing best practices and/or acting as a Center of Excellence

Hands-on experience with:

LLM application development, prompt engineering, evaluation frameworks, and guardrails

Vector databases and retrieval systems

Model monitoring, drift detection, and AI governance practices

Experience deploying AI solutions in cloud environments (AWS, Azure, GCP)

Familiarity with containerization and orchestration (Docker, Kubernetes)

Experience working across globally distributed teams

Strong business acumen with experience driving measurable ROI from AI initiatives

About the Manager, Data Science & AI job

Pay, benefits and more:

Competitive compensation package

Full health insurance benefits are available on day one

Life and disability insurance

Earn up to 15 days of PTO over your first year

9 paid company holidays

401(k) option with company match

Education assistance

Opportunity to participate in a company incentive plan

What you’ll do on a typical day:

Lead a team of ML engineers focused on building, deploying, and scaling production AI and Generative AI solutions that solve complex transportation and operational challenges

Partner with Data Science teams to transition models from experimentation into robust, scalable, and monitored production systems

Design and implement Generative AI applications, including:

RAG-enabled knowledge assistants

Internal copilots for operations, sales, and customer service

Multimodal AI solutions leveraging structured data, documents, and images

Define and execute the company’s MLOps strategy, including:

Standardizing CI/CD for ML

Establishing model lifecycle management and governance

Implementing observability, performance monitoring, and drift detection

Build reusable AI services, APIs, and shared frameworks that accelerate delivery across US and India AI teams

Drive Computer Vision enablement by ensuring scalable training, inference, and monitoring pipelines

Serve as a trusted advisor to senior stakeholders, helping translate Generative AI and ML capabilities into operational efficiency, cost reduction, and revenue growth

Conduct architecture reviews, code reviews, and performance tuning to ensure high engineering standards

Mentor engineers and data scientists on production-ready AI development and best practices

Stay at the forefront of advancements in ML Engineering, GenAI, and MLOps to guide technology decisions and enterprise adoption

Annual Salary Range: $131,100 to $163,875 Actual compensation may vary due to factors such as experience and skill set. This is an incentive-based position, which may include bonuses, incentive or commission plans.

About XPO

XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you’re looking for a growth opportunity, join us at XPO.

All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.

The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification.