emagine

Data Scientist for AI Service

Job description

emagine is looking for a Data Scientist with AI experience for a very exciting assignment within the construction industry

Start: 2024-09-30

End: 2025-04-30

Location: Stockholm, hybrid solution

About the assignment:

Project Description

Application of AI and ML to business use-cases and building technical AI Service foundation.

Role description:

As a Data Scientist in the AI Service team, you will help pioneer the adoption of Generative AI and Machine Learning at the company. You will contribute to extending the capabilities of the existing analytics platform to handle more advanced use-cases, and leverage these capabilities to tackle business use-cases from end-to-end.

  • Develop and evaluate proof of concepts for new applications, and bring the most promising cases to a production-ready state
  • Assist in creating a target architecture for a modern and scalable AI platform built in Microsoft Azure
  • Develop the foundation necessary to handle AI use-cases at scale, including cloud infrastructure, data pipelines, and CI/CD, in collaboration with the existing Business Analytics team
  • Work with identifying new use-cases and helping stakeholders with specifying demands

Your profile

Need to have:

English and Swedish

Experience applying and evaluating machine learning methods to real-world problems

Understanding of the most common patterns of applying Large Language Models

Experience working with data in Python

Experience working with cloud providers such as Microsoft Azure, Amazon Web Services or Google Cloud Platform.

Experience working with databases, data warehouses, data lakes or similar

Nice to have:

Experience working with foundation LLMs, for example using the OpenAI API

Experience with AI-powered search such as vector search or Azure AI Search

Experience in web frontend development using tools such as Streamlit or React

Experience using Docker or similar tools

Experience working with Databricks

Experience with CI/CD pipelines and DevOps

Experience with SQL

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