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Founding ML Engineer - Remote

Posted 13 weeks ago
Software Development
Full Time
India

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Overview

An exciting opportunity to join an early-stage AI startup as a Founding ML Engineer, leading cutting-edge AI innovations and shaping ML infrastructure and products.

In Short

  • Position for a Founding ML Engineer.
  • Requires 3+ years of experience in software development.
  • Focus on machine learning, LLMs, and generative AI.
  • Join an early-stage AI startup.
  • Lead innovations in AI technology.
  • Shape ML infrastructure and products.
  • Work in a dynamic startup environment.
  • Opportunity to make a significant impact.
  • Collaborate with a talented team.
  • Be at the forefront of AI development.

Requirements

  • 3+ years of experience in software development.
  • Strong focus on machine learning.
  • Experience with LLMs and generative AI.
  • Ability to work in a fast-paced environment.
  • Strong problem-solving skills.
  • Excellent communication skills.
  • Passion for AI technology.
  • Ability to lead projects and initiatives.
  • Experience in startup environments is a plus.
  • Willingness to learn and adapt.

Benefits

  • Work in a cutting-edge field.
  • Opportunity for professional growth.
  • Collaborative work culture.
  • Flexible work environment.
  • Potential for equity in the startup.
  • Impactful work that shapes the future of AI.
  • Supportive team atmosphere.
  • Access to the latest technologies.
  • Networking opportunities in the AI industry.
  • Work with passionate individuals.
Weekday logo

Weekday

Weekday is a dynamic consultancy that partners with startups and small organizations worldwide to leverage the power of data. The company specializes in providing data science and machine learning solutions, helping clients tackle real-world challenges and drive business growth through data-driven strategies. With a focus on diverse industries such as fintech, healthcare, e-commerce, and artificial intelligence, Weekday offers flexible, full-time opportunities for consultants to engage in impactful projects, develop predictive models, and communicate insights effectively to stakeholders.

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