The role involves designing and developing automation systems while deploying ML models to optimize business operations across all company divisions
Job Summary
The role involves designing and developing automation systems while deploying ML models to optimize business operations across all company divisions.
Candidates must possess proven hands-on experience with web applications using Javascript frameworks and strong proficiency in Python, SQL, and HTML/CSS.
The position offers flexible working arrangements, free access to Headspace, and a 70% discount on HelloFresh meals in a diverse international environment.
Matching Summary
The role involves designing and developing automation systems while deploying ML models to optimize business operations across all company divisions.
Salary
Competitive salary; Employee benefits included; Not specified
Skills & Requirements
Must-have
Bachelor's degree in quantitative discipline
Proficiency in Python, SQL, and JavaScript
Experience with Databricks and AWS stack
Hands-on experience deploying production-grade ML models
Knowledge of Serverless architecture and Kubernetes
Nice-to-have
Strong communication skills for non-technical stakeholders
Passion for driving a data-native culture
Experience with LLMs for AI-based automation
Ability to prioritize multiple concurrent projects
Interest in modern frameworks and APIs
Key Requirements
Bachelor's degree in Computer Science, Engineering, Statistics, or related field
Proven experience with modern data platforms like Databricks
Experience utilizing CI/CD tools such as GitHub Actions or Jenkins