Senior Machine Learning Engineer leading AI system development for diverse clients at Faculty. Collaborate cross - functionally while ensuring ethical AI deployment in public services.
About the role
- Data Scientist in Storytel's Machine Learning team improving customer engagement and automated content curation using AI. Collaborates with cross-functional teams for model deployment and performance assessment.
Responsibilities
- Join Storytel's Machine Learning team as a Data Scientist and drive impact across key areas like customer engagement, automated content curation, and personalized recommendations.
- Be part of a cross-functional environment, working together with highly talented colleagues across Product & Engineering, Content, Marketing, and Business Analytics.
- Collaborate closely with Engineers, UX Designers, Content Curators, and Product Managers to solve problems and explore opportunities end-to-end.
- Partner closely with the ML and Data Engineers to ensure smooth deployment, scalability and robustness of machine learning systems.
- Design experiments, measure model performance, and shape data-driven strategies to enhance customer engagement.
- Leverage your data science competence to support reliable and effective integration of Generative AI technologies into the product experience.
- Engage in the ML community meetings, journal clubs, and peer learning activities to stay at the forefront of industry trends.
Requirements
- An advanced degree (MSc/PhD) in Computer Science, Statistics, Mathematics, or related fields
- 5+ years of professional experience in data science or machine learning roles
- Significant breadth and depth of statistics/ML knowledge
- Proficiency in Python and SQL, and coding best practices
- Solid experience with developing scalable and reliable ML systems that serve thousands to millions of users
- Experience presenting your work to non-technical stakeholders, translating complex ideas into actionable insights.
- Hands-on experience with recommender systems (bonus qualification)
- Familiarity with cloud-native technologies and/or the Google Cloud Platform (bonus qualification)
- Experience with model deployment and a solid understanding of MLOps best practices (bonus qualification)
- Strong knowledge of model evaluation techniques (bonus qualification)
Benefits
- Flexible working arrangements
- Professional development opportunities
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