AI Engineer for Large Language Models

13 hours ago


Stockholm, Stockholm, Sweden EQT Full time

EQT's investment strategy leverages the power of technology to drive business growth and improve lives. As a Staff Machine Learning Engineer, you will play a key role in developing and deploying AI solutions that deliver actionable insights and drive business outcomes.

The Motherbrain AI platform is designed to integrate Large Language Models (LLMs) into business workflows, automating tasks such as summarization, data extraction, and analysis of internal & external data. As a technical leader, you will bridge between Machine Learning/AI research and operations, ensuring that AI-powered solutions are robust and scalable in real-world production scenarios.

You will be working together with Data Scientists, Fullstack Engineers, Backend Engineers, Data Engineers, UI and UX Designers, and Business Stakeholders to take the Motherbrain platform to the next level and leverage AI as a core part of EQT's strategy to maximize its competitive advantage.

Key Responsibilities

As a Staff Machine Learning Engineer, you will:

  • Design, implement, deploy, and manage AI-powered solutions delivering on organizational goals and industry standards;
  • Evaluate and recommend new technologies and tools to enhance the efficiency and effectiveness of AI workflows;
  • Collaborate with cross-functional teams to identify and prioritize areas for AI-driven innovation and improvement;
  • Maintain and evolve the Motherbrain AI platform, ensuring it remains aligned with business needs and industry trends.
About You

We're looking for a technical leader who believes in the power of teamwork and has a passion for driving innovation through AI. You should have experience in teams working with disruptive technologies, high-level interaction and collaboration, evolving and maintaining the technical product roadmap according to the business needs.

Technical Requirements:

  • Azure or AWS cloud infrastructure;
  • CI/CD pipelines for machine learning workflows;
  • Familiarity with NLP techniques and tools, particularly for summarization, data extraction, and large-scale textual analysis;
  • Understanding of security and privacy best practices when working with sensitive or proprietary data in machine learning workflows.
What's in it for me?

EQT offers an attractive compensation package, including a pension plan, 6 weeks of vacation, and a generous healthcare allowance. Our domestic allowance program enables a good work/life balance for employees with small children.



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