- Company Name
- The Walt Disney Company
- Job Title
- Lead AI/Machine Learning Engineer - Decision Science
- Job Description
-
**Job title**
Lead AI/Machine Learning Engineer – Decision Science
**Role Summary**
Lead the end‑to‑end design, development, and operation of scalable decision‑science models. Drive architectural excellence, mentor colleagues, and enable rapid deployment of reusable AI/ML components across distributed systems.
**Expectations**
- 7+ years of senior technical leadership in AI/ML projects.
- Proven ability to translate business needs into robust, production‑grade solutions.
- Strong communication with cross‑functional stakeholders in a matrixed environment.
**Key Responsibilities**
- Architect, build, and maintain efficient, reliable decision‑science pipelines for AI/ML, statistical, and simulation models.
- Provide technical leadership: design reviews, architectural guidance, and best‑practice enforcement.
- Mentor junior engineers on modular, scalable solution design.
- Demonstrate new tools and services to stakeholders to drive adoption.
- Own CI/CD, integration, and troubleshooting of model serving infrastructure.
- Collaborate with product managers, data scientists, and external partners to capture requirements and produce architectural documentation.
- Promote a culture of quality, experimentation, and continuous improvement.
**Required Skills**
- **Programming**: Proficient in Python (OOP, exception handling, unit testing, scikit‑learn custom estimators, Pandas, SciPy, Keras, TensorFlow, PyTorch).
- **AI/ML**: Experience with LLMs, knowledge graphs, generative AI, deep learning, and traditional ML (regression, neural networks).
- **Prompt Engineering**: Demonstrated proficiency.
- **Data & Distributed Systems**: Knowledge of Ray, Spark, Dask, distributed databases, and cloud compute (AWS).
- **Knowledge Graphs**: Familiarity with Neo4j, TigerGraph, Dgraph, ArangoDB.
- **DevOps/MLOps**: Git, CI/CD (GitLab), Docker, container orchestration, Linux, SSH.
- **Methodologies**: Agile, MLOps, DevOps, Docker, SSH, Linux.
- **Soft Skills**: Analytical problem‑solving, strong written and verbal communication, stakeholder management, influence in a matrixed organization.
- **Optional**: Experience building UI with Streamlit or RS.
**Required Education & Certifications**
- Bachelor’s degree in Computer Science, Data Science, Electrical Engineering, or related discipline (advanced degree preferred).
- No mandatory certifications; industry‑recognised data‑science or cloud credentials are a plus.
Lake buena vista, United states
On site
Senior
03-10-2025