![Rillion AB](https://media.trabajo.org/img/noimg.jpg)
Machine Learning Engineer Role
2 days ago
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.
- 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.
- 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.
- 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.
We review applications and invite for interviews continuously. A background check will be conducted on final candidates, pre-employment.
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