Manager, AI and Data Engineering
November 8
Description
• Build and grow a team of artificial intelligence (“AI”) data engineers and data scientists, ensuring their growth and high performance. • Build, operate and deploy real-time data pipelines at scale using AI methods and best practices. • Apply cutting edge data warehousing, data science and data engineering technologies to accelerate AI research and development (R&D) efforts. • Automate low-value tasks and enable faster time to market and better reusability of new AI initiatives. • Partner with AI R&D teams and the Data Platform Team in collecting, creating, curating and maintaining high-quality AI datasets. • Ensure alignment and integration of data architecture and data models across different products and platforms. • Serve as a thought leader in AI and data science, advising senior leadership on how to leverage AI-driven data engineering to create future-proof data strategies and activate data to build a hybrid data engineering platform. • Engage in data engineering and data science tasks as required to support the team. • Lead external data collection efforts—including state of the art prompt engineering techniques—to support the construction of state-of-the-art AI models. • Drive data innovation through research and development to unearth insights from rich data resources. • Ensure clarity of the company's vision and mission across the team and foster excellent communication within the organization. • Stay updated on new tools and development strategies and bring innovation recommendations to leadership.
Requirements
• Master’s degree in computer science, information technology, information systems, data analytics, or a closely related field. • 3 years of professional experience in data engineering and data science, to include each of the following: • 2 years of experience in a managerial or technical leadership role, with responsibility covering large cross functional projects. • 2 years of experience with Python, Spark, SQL, and Airflow for developing data processing solutions and streaming platforms and Applications. • 1 year of experience with Generative AI. • 1 year of experience interacting with AI frameworks, including PyTorch and TensorFlow • 1 year of experience with AI libraries, including Hugging face and Scikit-Learn • 6 months of experience interacting with and prompting cutting-edge Large Language Models (LLMs) and LLM APIs
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