Senior AI/ ML Engineer - Orlando - Universal Studios

    Universal Studios
    Universal Studios Orlando

    21 hours ago

    Description

    JOB SUMMARY:

    The Senior AI/ML Engineer role will design and build custom AI-powered applications end-to-end, from prototype to production, focused on delivering measurable business value. The Senior AI/ML Engineer will engineer full AI systems that integrate model capabilities into real products: robust API endpoints, agentic or AI workflow orchestration, scalable backend services, and well-designed data models. Hands-on in implementation, deeply involved in system quality and reliability, and eager to mentor junior engineers while raising the team's engineering bar.

    MAJOR RESPONSIBILITIES:

    AI Development

    • Architect and implement end-to-end AI solutions, including backend services, APIs, databases, and model integration layers.
    • Develop and maintain API endpoints (REST/GraphQL) that reliably serve AI capabilities to internal and external consumers.
    • Design and implement backend database schemas (relational and/or NoSQL) and data access patterns optimized for AI workloads and application needs.
    • Build scalable AI infrastructure patterns (job queues, caching, streaming, async workers) to support low-latency and high-throughput use cases.
    • Apply secure engineering practices including authentication/authorization, secrets management, threat modeling, and PII handling.

    Engineer AI & Agentic Workflows

    • Implement AI pipelines including Retrieval-Augmented Generation (RAG), tool/function calling, structured output, and agentic workflows.
    • Choose appropriate model strategies: prompt-based, RAG, fine-tuning, or hybrid approaches based on cost, latency, and quality requirements.
    • Evaluate and integrate foundation models (open-source and commercial) with attention to licensing, security, privacy, and performance.

    AI Evaluation

    • Define and implement evaluation frameworks to measure AI system quality (accuracy, relevance, grounding, hallucination rates, safety, latency, cost).
    • Create automated test suites for prompts/workflows and regression testing for model and data changes.
    • Monitor production systems for drift, degradation, and reliability issues; establish observability (logs, traces, metrics) and incident response practices.

    Collaboration and Mentorship

    • Partner with Product, Data Science, Data Engineering, DevOps and Platform teams to translate requirements into robust technical solutions.
    • Mentor junior engineers through code reviews, technical guidance, and best-practice sharing.
    • Lead by example in engineering rigor, craftsmanship, and pragmatic decision-making.
    • Understands and actively participates in Environmental, Health & Safety responsibilities by following established UO policy, procedures, training and team member involvement activities.
    • Performs other duties as assigned.

    EDUCATION:

    • Bachelor's degree in computer science, Engineering, Data Science, or a related field is required.
    • An advanced degree (Masters or PhD) in a relevant field is strongly preferred, emphasizing computer science, machine learning, robotics, or business management.

    EXPERIENCE:

    • 5+ years in software engineering and/or applied AI/ML roles, with demonstrated delivery of production systems.

    ADDITIONAL INFORMATION:

    • AI/ML Expertise: Strong working knowledge of modern ML/GenAI tools (e.g., PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex or similar).
    • Backend Engineering: Proven ability to build and maintain backend services and APIs (Python/TypeScript/Java/Go or similar).
    • Data & Storage: Experience designing database schemas and working with relational and/or NoSQL databases; familiarity with vector databases is a plus.
    • Cloud Proficiency: Proficient in at least one major cloud provider (AWS, GCP, or Azure), including deployment and managed services.
    • Evaluation Discipline: Demonstrated experience measuring AI system quality with repeatable evaluation methods and production monitoring.
    • Scaling Mindset: Ability to design systems for performance, reliability, and maintainability at scale.
    • Communication: Strong written and verbal communication skills; able to explain tradeoffs clearly to technical and non-technical stakeholders.
    • Mentorship: Eagerness and ability to mentor junior engineers and elevate team practices.

    Your talent, skills and experience will be rewarded with a competitive compensation package.

    Universal is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Universal Orlando via-email, the Internet or in any form and/or method without a valid written Statement of Work in place for this position from Universal Orlando HR/Recruitment will be deemed the sole property of Universal Orlando. No fee will be paid in the event the candidate is hired by Universal Orlando as a result of the referral or through other means.

    Universal Orlando Resort. Here you can.

    Universal Orlando is an equal opportunity employer. Universal elements and all related indicia TM & 2025 Universal Studios. All rights reserved. EOE


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