Manager, Data Science (GenAI Solutions & ML Engineering)

• 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.

Do you have experience in Technology management?, Do you have a Bachelor’s degree?, * 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

3.13.1 out of 5 stars Cambridge, MA 02141 $131,100 - $163,875 a year - Full-time, Pulled from the full job description

• Health insurance
• 401(k) matching
• Paid time off
• Disability insurance
• Paid holidays, * 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

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.