AI Data Engineer/Data Scientist

Ework Group - founded in 2000, listed on Nasdaq Stockholm, with around 13,000 independent professionals on assignment - we are the total talent solutions provider who partners with clients, in both the private and public sector, and professionals to create sustainable talent supply chains.

With a focus on IT/OT, R&D, Engineering and Business Development, we deliver sustainable value through a holistic and independent approach to total talent management. By providing comprehensive talent solutions, combined with vast industry experience and excellence in execution, we form successful collaborations. We bridge clients and partners & professionals throughout the talent supply chain, for the benefit of individuals, organizations and society.

For our client, one of the Global Pharmaceutical Company, we realize a recruitment process for AI Data Engineer/Data Scientist.

Main Responsibilities:

• Being responsible for building large-scale distributed systems focusing on scalability, reliability and performance
• Creating solutions based on Python mainly but also working with some C# while working on AI frameworks and libraries like LangChain, OpenAI, AutoGen or RAG
• Utilizing modern cloud-based services based on AWS or Azure
• Designing and implementing microservices and handling APIs (OpenAPIs)
• Building and maintaining CI/CD pipelines adhering to the industry standard methodologies in testing

An ideal candidate profile:

• Higher education level within IT, Mathematics or Statistics or similar engineering field are preferred
• At least 6 years of experience within IT function focusing on Python and some C#
• At least 6 months of using AI libraries and frameworks: RAG piplines, prompt engineering, or Gen AI use cases
• Hands-on with following technologies: Microservices, OpenAPIs, Ci/Cd pipelines, AWS/Azure services
• Additionally it is good to be familiar with data engineering platforms like databricks, Terraform, Indexing systems
• It is required to be familiar with data privacy regulations, responsible AI practices as well understanding of mathematics foundational models and their limitations in different prompt scenerios
• Fluency in English – speaking and writting