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Capgemini

Global consulting, technology services, outsourcing

AI utvecklare

Natural Language Processing & LLMsUpdated on Nov 14
Full-timeGävle, SwedenNo salary listed

About the Job

Requirements

  • An academic degree in Data Science, Data, Machine Learning, Theoretical Linguistics, or an equivalent field.
  • Documented practical experience with large language models such as GPT, XLNet, or T5.
  • Experience using modern natural language processing tools and libraries such as spaCy and Hugging Face Transformers.
  • Strong Python development skills, including experience with NumPy and SciPy, and experience with SQL.
  • Ability to communicate and teach, including explaining technical concepts to non-technical stakeholders.
  • Fluency in written and spoken Swedish and English.
  • Practical experience working with both on-premises and cloud platforms.

Responsibilities

  • Apply large language models to specific business problems to extract, process, classify, and derive insights from unstructured datasets.
  • Develop domain- or task-specific language models for business problems when existing models cannot be used.
  • Evaluate machine learning model performance and recommend improvements.
  • Stay up to date with core technologies in natural language processing and generative AI.
  • Work in cross-functional teams and share ownership and responsibility for planning, work, quality, and delivery.
  • Mentor junior team members and support their development.

Desired Qualifications

  • Experience with Microsoft Azure.
  • Knowledge of and experience with vector databases such as Pinecone, Milvus, or Weaviate.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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