Staff Machine Learning Engineer

EQT recognizes that Diversity, Equity & Inclusion (DE&I) have a positive impact on both EQT’s investors, employees and society. We strive to attract top talent representing diversity of backgrounds, experiences, perspectives, and opinions as this is vital to building better businesses, engaging talent, and driving high performance and financial returns.

We are looking for a full-time Machine Learning Staff Engineer based in Stockholm to lead the AI team in Motherbrain. In this role you’ll join our Platform team, engaging with modern technologies and highly skilled colleagues. 

Our mission is to empower professionals with actionable insights while providing engineers with the tools and infrastructure to create and deploy AI-powered solutions efficiently.

Key responsibilities

As a Machine Learning Staff Engineer in the AI platform team, you will bridge between Machine Learning/AI research and operations, ensuring that machine learning models are not only accurate during development but also robust and scalable in real-world production scenarios. 

Together with your team, you will design, implement, deploy, and manage machine learning models delivering on organizational goals and industry standards, evolving and maintaining the Motherbrain AI platform. 

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. The platform features a robust architecture enabling the development of scalable AI workflows with a focus on usability, traceability, and domain-specific fine-tuning.

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. 

About you 

You are a technical leader that believes in the power of teamwork. Your technical expertise and ability to solve complex challenges make you a driving force in engineering excellence.

Essential Skills & Experience:

• Technical Leadership and teamwork in product-oriented organizations: Experience in teams working with disruptive technologies with high level of interaction and collaboration, evolving and maintaining the technical product roadmap according to the business needs.
• AI/ML Systems Architecture: envision, operationalize, build, and deploy end-to-end ML and AI pipelines at scale.
• Efficient Text Data Processing: Designing and optimizing systems for processing large volumes of textual data efficiently.
• ML Workflows and Pipelines Orchestration: Building and maintaining MLOps pipelines, including CI/CD for machine learning workflows.
• AI Cloud Infrastructure: Working with cloud platforms such as AWS, GCP, or Azure for ML infrastructure.
  
  

Nice-to-Have Qualifications:

• Hands-on experience with LangChain, LangSmith, and LangServe for building and managing AI workflows.
• Understanding of FastAPI, TypeScript, GraphQL, and other tools used for backend and frontend integration.
• Experience with database technologies and data transformation pipelines (e.g., dbt).
• Developing and deploying scalable, distributed systems for AI solutions.
• Knowledge of RAGs, Embeddings, vector databases
• NLP techniques and tools, particularly for summarization, data extraction, and large-scale textual analysis.
• Security and privacy concerns when working with sensitive or proprietary data in machine learning workflows.

About Motherbrain

Motherbrain, an integral team within EQT, integrates data science, machine learning, and AI into our investment strategy, offering a unique platform and opportunity to tackle complex, real-world challenges. Our team, sourced from leading tech companies, leverages the latest technology and collaborates closely with EQT's internal business professionals. This collaboration ensures that our innovative solutions significantly impact diverse sectors such as healthcare, technology, and infrastructure. Here, you'll discover an environment that fosters learning and growth, where your contributions influence tangible business outcomes and play a key role in EQT's global strategy.

About EQT
EQT is a purpose-driven global investment organization focused on active ownership strategies. With a Nordic heritage and a global mindset, EQT has a track record of almost three decades of developing companies across multiple geographies, sectors and strategies. EQT has investment strategies covering all phases of a business’ development, from start-up to maturity. EQT has EUR ‌​​246 billion in total assets under management (EUR ‌​​‌133 billion in fee-generating assets under management), within two business segments – Private Capital and Real Assets.

With its roots in the Wallenberg family’s entrepreneurial mindset and philosophy of long-term ownership, EQT is guided by a set of strong values and a distinct corporate culture. EQT manages and advises funds and vehicles that invest across the world with the mission to future-proof companies, generate attractive returns and make a positive impact with everything EQT does.EQT has offices in more than 25 countries across Europe, Asia and the Americas and has more than 1,800 employees.

More info: www.eqtgroup.com
Follow EQT on LinkedIn, X, YouTube and Instagram