Data Scientist for AI Service

IT & Telekom
Detta uppdrag är inte längre tillgängligt.
emagine is looking for a Data Scientist for AI initiative related assignment.
Start: 2024-03-11
End: 2024-09-11
Location: Must be based in Stockholm
About the assignment:
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 . 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:
Fluent in English and Swedish is a must
Academic degree in computer science, engineering, mathematics or related fields

Need to have:
Experience working with data in Python
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 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
SQL
AWS
Production
Python
Data Warehouse
Databases
Math
Docker
React
Devops
Azure
English
Machine learning
Artificial intelligence
CI/CD
Google Cloud Platform
Databricks
Foundation
OpenAI
Generative artificial intelligence
 Stockholm, Stockholms län
Period
2024-03-11 - 2024-09-11