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Humblebee
Humblebee
11 – 50 Employees
B2BSaaS
Humblebee is a digital service design studio working across design, usability, web and mobile development, and user experience. The studio partners with startups and businesses to build and improve digital products, using technology to support growth, bring products to market sooner, and enable innovation.
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Data Engineer / Data Scientist – Machine Learning and Generative AI

Build machine-learning and generative AI solutions at Swedish digital service studio Humblebee, turning client challenges into scalable data products.

SESwedenHybridFull-timeMiddleSeniorEnglish RequiredData Engineer
AWSAzureCloudPython

Description

  • Investigate datasets to find patterns, test hypotheses, and uncover opportunities.
  • Plan and conduct experiments, proofs of concept, and prototypes.
  • Build, assess, and deploy machine-learning models in local and cloud environments.
  • Integrate and fine-tune generative models for recommendations, search, personalized content, and conversational experiences.
  • Combine, process, and visualize data to make insights clear.
  • Work with engineering, design, and business colleagues to develop data-driven digital products.
  • Recommend data-driven approaches for clients’ existing and prospective products.
  • Take solutions from prototype to production, applying reliability, scalability, and MLOps practices.
  • Explain findings, assumptions, and limitations to both technical and non-technical audiences.
  • Turn business challenges into technical solutions using analytics and machine learning.

Requirements

  • Degree in computer science, data science, statistics, engineering, or a related discipline.
  • Experience building or integrating machine-learning models.
  • Proficiency in Python and LangChain.
  • Experience with modern cloud and data platforms, including Azure, AWS, Databricks, and Microsoft Fabric.
  • Familiarity with CI/CD pipelines, version control, and model monitoring.
  • Expertise in feature engineering, model evaluation, data visualization, data cleaning, and data processing.
  • Awareness of responsible AI, governance, and security principles.
  • Strong grounding in statistics, machine learning, and the stages of the model lifecycle.
  • Ability to turn complex business challenges into data- and AI-driven solutions.
  • Experience moving models and data products from prototype to production.
  • Understanding of data governance, monitoring, and responsible AI practices.
  • A Swedish work permit is required.
  • Applications must be submitted in English.
  • Curiosity, empathy, and a collaborative approach.

Benefits

  • Hybrid work split between the office and home.
  • Full-time employment.

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