Serve as Scrum Master for cross-functional generative AI teams, facilitate Scrum ceremonies, remove impediments, coordinate stakeholders, track velocity and progress, and apply knowledge of AI project lifecycle from data preparation to deployment and monitoring.
Description
- Act as a Scrum Master for cross-functional team working on generative AI / AI projects.
- Facilitate Scrum ceremonies, including sprint planning, daily stand-ups, sprint reviews, and retrospectives
- Facilitate communication and collaboration among team members and stakeholders
- Work closely with interdisciplinary teams, including creative designers, data engineers, developers, and business stakeholders
- Proactively identify and eliminate impediments to the team's progress.
- Collaborate with other Scrum Masters and leaders to address organizational impediments.
- Track and report team velocity and sprint/release progress to provide transparency across the organization
- Knowledge of AI project lifecycle, from data preparation and model training to deployment and monitoring
- Understanding of the principles and techniques behind Generative AI / AI
Qualifications
- Bachelor's or higher degree in Computer Science, Engineering, or a related field
- Proven experience as a Scrum Master.
- Prior experience in handling generative AI / AI projects is a big plus
- Effective communication and collaboration skills, with the ability to bridge the gap between technical and non-technical stakeholders
- Knowledge of frameworks commonly used in generative AI / AI, such as TensorFlow or PyTorch. – Nice to have
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Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
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- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
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- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
