ML Research Engineer

Remote: 
Full Remote
Contract: 
Work from: 

Offer summary

Qualifications:

Strong background in machine learning and AI technologies., Experience with large language models and their deployment in production environments., Ability to work independently and take ownership of projects., Familiarity with state-of-the-art (SOTA) models and practices in AI..

Key responsabilities:

  • Train and fine-tune large language models tailored for enterprise applications.
  • Own projects from inception to completion, ensuring progress and results.
  • Stay updated with the latest advancements in AI and implement them in projects.
  • Design, execute, and analyze experiments, documenting results for actionable insights.

KI professionals GmbH logo
KI professionals GmbH Information Technology & Services SME https://ki-professionals.com/
51 - 200 Employees
See all jobs

Job description

About us:

Our mission is to supercharge IT enterprise organizations with custom AI solutions. Headquartered in the heart of Munich with a hub in Lisbon, we’re a team of builders, dreamers, and problem-solvers tackling some of the most exciting and complex challenges in AI native development adoption.

Guided by our core values speed, adaptability and extreme ownership. We craft custom AI solutions that transform the entire product & service lifecycle and the different roles involved — from concept to development, deployment, and adoption. Enterprises trust us because we don’t just build tools; we embed ourselves in their workflows, ensuring seamless and compliant integration for long-term success.

What You’ll Do:
  • You’ll be part of the founding engineering team. Playing a critical role in shaping the future of the company together with highly skilled peers.

  • Train, fine-tune and run large language models in production tailored for enterprise needs.

  • Take initiative and own projects end-to-end, making tangible progress independently.

  • Keep the company up to date with SOTA models and practices. Quickly design, execute, and analyze experiments, while meticulously documenting results and transforming insights into actionable improvements.

Required profile

Experience

Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Adaptability
  • Problem Solving

ML Ops Engineer Related jobs