Leading the study and transformation of data science prototypes
Researching, designing, and implementing appropriate ML algorithms and tools
Leading the consolidation and implementation of new concepts and processes in areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile.
Serving as a subject matter expert regarding the latest industry knowledge to improve the organization’s systems and/or processes related to Machine Learning, Deep Learning, Responsible AI, Gen AI, Natural Language Processing, Computer Vision and other AI practices.
Setting the standards for datasets and data representation methods.
Extending existing ML libraries and frameworks.
Determining processes and standards for running machine learning tests and experiments.
Designing, developing, testing, deploying, maintaining, and improving machine learning system software.
Setting the strategy for ML/AI tools and processes, determining the future needs of the business.
Partnering with stakeholders across various business units, Enterprise Architects, Governance, Legal Council, and Security to define an overall plan for the Registry, model governance, and model inventory tracking.
Requirements & Skills:
Bachelor’s degree or four or more years of work experience.
Four or more years of relevant work experience.
Advanced knowledge of all aspects of Machine Learning processes, tools, and systems.
Deep understanding and hands-on experience with ML Engineering techniques and tools including ML model measurement techniques, and real-time and batch AI processors.
Hands-on experience with modeling platforms and tools like Domino, Jupyter, H2O.ai, DataRobot, Conda, ML Flow
Business domain knowledge such as churn management, personalization, upsell/cross sale of Verizon products
