Machine Learning Engineer Role

2 days ago


Stockholm, Stockholm, Sweden Rillion AB Full time

Rillion AB seeks an experienced Machine Learning Engineer to join its innovative Data/AI team. As a key member of the team, you will play a crucial role in developing machine learning models that drive AI-powered AP automation and enhance our products.

Key Responsibilities:
  • Model Development: Develop and implement scalable AI/ML models that support product objectives.
  • Collaborative Work Environment: Collaborate closely with product, engineering, and data teams to integrate AI features into our products.
  • Staying Current: Stay up-to-date with emerging AI technologies and contribute to experimentation and innovation.
  • Pipeline Management: Build and maintain effective AI/ML pipelines and deployment infrastructure.
About Our Ideal Candidate:
  • Experience Required: 2+ years hands-on experience with putting self-developed machine learning solutions into a production environment.
  • Technical Skills: High proficiency in Python and AI/ML frameworks, i.e. Pytorch.
  • Cloud Infrastructure: Familiarity with working with containers in a cloud environment like Azure, AWS, and/or GCP, with experience scaling AI solutions in production.
  • Communication and Collaboration: A curious mindset with strong collaboration skills who is comfortable in environments without clear-cut processes.
  • Educational Background: Master's degree in engineering or similar.
Bonus Skills:
  • Cloud Operations: Cloud Ops and IaC tools such as Terraform.
  • MLOps Practices: MLOps best practices and tools like Databricks.
  • Generative AI: Knowledge of working with visually rich documents (VRDs) and generative AI.
  • API-driven Microservices: Experience working with RAG, LLM evaluation, API-driven microservices, cache management and production-level software.
We Are Offering:
  • Growth Opportunity: Opportunity to work in a dynamic growth company.
  • Talented Team: Talented colleagues ready to support the success in your career path.
  • Social Events: Social events with your colleagues.
  • Benefits Package: A collection of different benefits, including a generous pension and insurance package.
  • Hybrid Working Model: Hybrid working model, 2 days per week in the office.
  • Office Location: Come and enjoy our beautiful office in central Stockholm.
The Recruitment Process:

We review applications and invite for interviews continuously. A background check will be conducted on final candidates, pre-employment.



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