About the team
The Machine Learning Engineering (MLE) team focused on the application of multimodal LLMs, unsupervised learning, and clustering algorithms. The ideal candidate will work closely with product, operations, and engineering teams to apply advanced natural language processing, computer vision, and deep learning technologies to solve business challenges and extract actionable insights.

Responsibilities
- Collaborate closely with data scientists, machine learning engineers, and software developers to build scalable data pipelines.
- Support the development and deployment of machine learning models by ensuring high-quality, reliable data infrastructure.
- Drive innovation in data processing, storage, and retrieval to optimize model training and inference.
- Work in an agile environment focused on continuous integration and delivery of ML solutions.
- Contribute to the design and implementation of data governance and security best practices.