Tech Co-founder | MLOps startup

Vor 3 Tagen


Zürich, Schweiz Stealth Startup Vollzeit

We're an early-stage MLOps startup focused on revolutionizing experiment management for deep neural networks. Our goal is to simplify and accelerate the experimentation process for AI developers, Data Scientists, and ML engineers, making it more efficient and cost-effective.

Role Overview

As a Technical Co-Founder, you'll lead the architecture, design, and development of our platform. You'll shape the product's technical vision, ensuring it's scalable, user-centric, and integrated with cutting-edge ML techniques.

Key Responsibilities:

  • Technical Vision: Set and execute the technical direction of the product, aligning with the company’s mission.
  • Product Development: Lead platform design and development, from architecture to deployment. Collaborate with engineering teams on best practices.
  • Algorithm Integration: Keep up with ML research to integrate innovative techniques into the platform.
  • Research: Contribute to research papers, present at conferences, and engage with academia to establish our brand as a thought leader in MLOps.
  • User-Centric Development: Gather feedback from data scientists and iterate on product features to ensure a seamless user experience.
  • Technical Leadership: Mentor the engineering team, fostering a culture of innovation and excellence.
  • Open Source Contributions: Lead open-source initiatives to engage the community and boost product visibility.

Qualifications:

  • Bachelor's or Master's in Computer Science, Data Science, or Related Fields
  • Expertise in Machine learning and Deep Learning (TensorFlow, PyTorch, or similar).
  • Strong programming skills in Python (or R), with experience in ML frameworks.
  • Proven experience in software architecture and building scalable systems.
  • Understanding of data versioning and experiment tracking for ML.
  • Deep understanding of AI research methodologies and the ability to integrate them into products.

Nice to Have:

  • Advanced Degrees (PhD or Master's) in Artificial Intelligence, Machine Learning, or Deep Learning.
  • Startup / Entrepreneurial background.

What We Offer:

  • Equity stake with significant upside potential.
  • Opportunity to shape the future of MLOps and lead a groundbreaking product.
  • Flexible, collaborative, and fast-paced work environment.
  • Autonomy to define your role as we grow.

How to Apply:

Send your resume and cover letter detailing your experience and vision for MLOps to hiring@graybx.com

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Business Development and Sales

Industries

Technology, Information and Internet

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