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Senior ML Engineer

1.00 to 10.00 Years   Karachi, Pakistan   15 Aug, 2024
Job LocationKarachi, Pakistan
EducationNot Mentioned
SalaryNot Mentioned
IndustryOther Business Support Services
Functional AreaNot Mentioned

Job Description

About BeamBeam is a tech start-up leveraging Generative AI and NLP to build AI Agents for business operations. Beams generative agents help organisations to boost their productivity by automating repetitive tasks in seconds. Powered by LLMs, AI agents are easy to setup, seamlessly integrate with business applications and support teams where they need them most. We are on a mission to transform business practices by empowering organisations with artificial intelligence to increase efficiency, improve competitiveness, and scale operations globally.To learn more about us, please visit our website at https://www.beam.ai/About the RoleWe are looking to hire a Machine Learning Engineer with a strong background in backend engineering. As a Machine Learning Engineer with a specialization in backend technologies, your responsibilities will involve engaging in prompt engineering activities utilizing advanced transformer models. We are looking for someone who is passionate about building great products, has strong leadership skills, and is comfortable working in a fast-paced, startup environment.ResponsibilitiesThis role will encompass a blend of backend development with a focus on leveraging machine learning techniques to enhance system functionality, efficiency, and intelligence. Your key responsibilities will entail the following:

  • Use your understanding of high-performance backend systems to develop key infra around our ML systems such as Monitoring & Alerts.
  • Apply your system design prowess to construct sustainable, efficient architectures.
  • Utilise and enhance prompt engineering techniques, leveraging your understanding of transformer architectures to augment our agent OS capabilities.
  • Transition to advanced ML domains, exploring and implementing methods in knowledge graphs, graph learning, first-order logic, and symbolic learning.
  • Dedicate the initial six months to intensive ML training, including extra learning hours on Saturdays.

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