We are looking for a Machine Learning Engineer to join our team and contribute to the development and deployment of cutting-edge machine learning and artificial intelligence models that drive global impact. In this role, you'll have the unique opportunity to work on projects where your innovations will be directly experienced by users, enabling tangible business growth and operational efficiency for a global company across diverse markets including food, pharmaceuticals, personal care, and industrial formulations.
Core tech stack
- Python
- Pandas
- OOP
- SQL
- Git
Nice to have
- Azure Data Factory or other data processing platforms
- Recommender systems experience
- MLflow, SageMaker, or similar
- Snowpark
But if you don’t, don’t worry!
At IBORN, you'll have the chance to learn and enhance your knowledge and skills. We'll regularly check in with you and provide personalized support and a knowledge-sharing plan to help you achieve your goals. We're here to help you grow, clarify what you want, and stay true to IBORN's values and mission together.
Key Responsibilities
- Develop and deploy advanced machine learning and artificial intelligence models that have a significant impact;
- Create and maintain new functionalities for our machine learning pipeline to ensure smooth integration and high performance;
- Develop and maintain Python-based scripts and tools for data preprocessing, feature engineering, and model evaluation;
- Use machine learning operations practices to optimize the development, deployment, and monitoring of machine learning models;
- Collaborate closely with cross-functional teams to analyze data requirements and transform them into actionable insights and effective models;
- Effectively communicate complex technical concepts and findings to both technical and non-technical stakeholders clearly and understandably.