Senior AI/ML & Optimization Engineering Leader

Universal Studios; Orlando (FL); On-site; USD 150,000 - 190,000; Full time

Job summary

Universal Orlando Resort seeks a Senior Manager, AI/ML Engineering to lead a multidisciplinary team delivering enterprise-scale optimization and decision-intelligence solutions. You will guide production-ready systems from problem formulation to deployment, blending strategic vision with hands-on leadership to improve guest experiences and business outcomes.

You will coordinate cross-functional efforts across data science, engineering, and product, embedding responsible AI and governance while

Qualifications

• Hands-on experience designing and developing production decision systems, including data and feature pipelines, APIs and services, cloud platforms such as AWS, GCP, or Azure, version control, automated testing, CI/CD, containerization, observability, model monitoring, drift detection, and retraining or recalibration processes.
• Deep expertise in statistical inference, supervised and unsupervised learning, regression, classification, clustering and segmentation, time-series forecasting, probabilistic modeling, predictive analytics, and model ensembling.
• Demonstrated expertise formulating and solving large-scale decision problems using linear, mixed-integer, nonlinear, stochastic, robust, and/or multi-objective optimization; experience with constraint programming, decomposition, simulation, heuristics, and learning-based decision methods.
• Advanced proficiency in Python and SQL, with experience using optimization modeling frameworks and one or more solver ecosystems such as Gurobi or CPLEX.
• Experience integrating optimization with machine learning, forecasting, predictive models, personalization and recommendation systems, experimentation, simulation, or adaptive decision methods.
• Proven ability to establish technical vision, influence and direct multidisciplinary teams without formal authority, drive cross-functional alignment, and resolve complex technical and business decisions.
• Track record of connecting technical solutions to tangible business value and managing a portfolio of initiatives across multiple business domains.
• Storyteller comfortable presenting to executives and mentoring both technical and non-technical audiences.
• Hands-on experience applying privacy, security, fairness, explainability, governance, and compliance principles in production AI/ML and optimization systems.
• Advanced knowledge of product and delivery methodologies, with demonstrated success translating strategy into coordinated execution in fast-paced, ambiguous, and matrixed environments.

Responsibilities

• Provide strategic and technical leadership to multidisciplinary teams of data scientists, AI/ML engineers, data engineers, and developers, setting direction and aligning work to enterprise priorities while promoting collaboration, continuous learning, and high-impact delivery.
• Establish and communicate a clear enterprise vision, technical roadmap, and operating model for optimization and decision intelligence, balancing immediate business needs with long-term capability development.
• Direct technical teams by defining objectives, decision rights, technical standards, architectural guardrails, and measurable outcomes.
• Guide and mentor technical teams through problem formulation, architecture, model design, solution trade-offs, and production readiness in support of machine learning, optimization and mathematical programming.
• Coordinate initiative sequencing, resource needs, dependencies, and delivery risks across product, engineering, data, and business teams, removing roadblocks and ensuring execution remains aligned with scope, schedule, and business outcomes.
• Provide technical direction and oversight for AI/ML and optimization development, architecture, code quality, reusable libraries, reference architectures, and product-lifecycle best practices to ensure scalable, maintainable, secure, and production-ready solutions.
• Engage with internal and external partners to gather requirements and collaborate with engineers, architects, product leaders, and business stakeholders to design robust solutions across domains.
• Lead end-to-end problem formulation, model design, algorithm selection, prototyping, benchmarking, and validation across optimization, machine learning, and decision science. Apply advanced analytical and AI/ML techniques to integrate predictive and prescriptive modeling, experimentation, simulation, real-time signals, and business constraints into scalable decision systems that improve business outcomes and adapt over time.
• Establish delivery and operational governance, remove cross-team roadblocks, and track quality, reliability, adoption, and business-impact KPIs. Define standards for model and solver monitoring, performance degradation and drift detection, incident response, and continuous improvement.

Skills

Leadership

Python

SQL

Optimization

Machine learning

Data pipelines

Model monitoring

Problem solving

Education

Master’s degree in Computer Science or related quantitative field

Tools

Gurobi

CPLEX

AWS

GCP

Azure

Job description

Universal Orlando Resort seeks a Senior Manager, AI/ML Engineering to lead a multidisciplinary team delivering enterprise-scale optimization and decision-intelligence solutions. You will guide production-ready systems from problem formulation to deployment, blending strategic vision with hands-on leadership to improve guest experiences and business outcomes.

You will coordinate cross-functional efforts across data science, engineering, and product, embedding responsible AI and governance while