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Technical Lead II, AI Infrastructure - UK/Remote

HubSpot

United Kingdom

Remote

GBP 70,000 - 110,000

Full time

Today
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Job summary

An innovative firm is seeking a Technical Lead II for AI Infrastructure to lead a dynamic team in developing cutting-edge AI/ML solutions. This role emphasizes autonomy and strategic direction while remaining hands-on in technical aspects. The ideal candidate will possess strong coding skills in Java or Python and a deep understanding of machine learning concepts. Join a forward-thinking company where you can influence stakeholders and drive impactful projects that enhance the workflows of Machine Learning Engineers. If you're passionate about AI infrastructure at scale, this opportunity is perfect for you.

Qualifications

  • Experience leading a team of engineers with a focus on autonomy.
  • Strong coding skills in Java or Python and familiarity with ML concepts.

Responsibilities

  • Lead a team of engineers while remaining hands-on in technical aspects.
  • Set strategic direction for AI Infrastructure and perform code reviews.

Skills

Java
Python
Machine Learning
Team Leadership
Communication Skills

Job description

Technical Lead II, AI Infrastructure - UK/Remote

AI Infra teams at HubSpot play a pivotal role in developing AI/ML solutions that serve a dual mission: providing Product teams with seamless, robust, and scalable Machine Learning solutions, and offering Machine Learning Engineers (MLEs) optimal infrastructure to facilitate their workflows.
As a Technical Lead, you will:
  • Lead a small team of 3-4 engineers, emphasizing autonomy and flexibility
  • Help set the strategic direction for AI Infrastructure at HubSpot
  • Remain hands-on in all technical aspects while leading the team
  • Perform code reviews, coaching, and mentoring engineers
  • Have coding experience in Java/Python or other backend languages
  • Possess familiarity with general ML concepts and a proactive attitude to stay current with industry advancements; preferable exposure to AI Infrastructure at scale
  • Exhibit outstanding communication and collaboration skills, effectively influencing stakeholders and building strong cross-functional relationships
  • Demonstrate strong ownership of projects end-to-end, with a track record of successfully deploying infrastructure and collaborating with multiple engineering teams
  • Prove ability to solve complex technical problems and analyze trade-offs with empathy for customers (SWEs and MLEs)
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