Lead Machine Learning Engineer - Customer Support Systems
About the position Responsibilities • Rapidly analyze and prototype AI-driven solutions that address key pain points for both customers using self-service systems and customer service (CS) agents interacting with internal tooling. • Own and maintain production AI systems, including those leveraging large language models (LLMs); this includes optimization, fine-tuning, and debugging to ensure robustness and performance at scale. • Bridge customer support needs with commerce platform capabilities, identifying which problems can be solved using existing infrastructure and which require new AI-powered solutions. • Assess the effectiveness of deployed AI solutions through a data-driven lens, continuously iterating on what works and sunsetting or replacing what doesn't deliver meaningful impact. • Collaborate with other AI-focused teams across Disney Streaming, sharing innovations and adopting best practices to drive consistency, scalability, and impact in AI initiatives. Requirements • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; PhD is a plus. • 2+ years of hands-on experience building, deploying, and evaluating LLM based solutions. • Minimum 7 years of related work experience in building, deploying, and evaluating real-world machine learning solutions. • Proficiency in Python, SQL, and other relevant programming languages. • Experience with data wrangling and analysis tools such as Pandas, NumPy, and working knowledge of databases like MySQL and PostgreSQL. • Familiarity with big data and workflow platforms, including Spark, Databricks, Snowflake, Airflow, Jupyter, and GitHub. • Proven experience leading end-to-end ML project lifecycles, including model design, experimentation, product deployment, CI/CD for ML pipelines, and ongoing monitoring. • Excellent problem-solving abilities, with strong communication and collaboration skills. Nice-to-haves • Experience working with Amazon Web Services. • Experience with Tableau, Power BI, or similar platforms. • Experience building anomaly detection models. Apply tot his job