Machine Learning Engineer
Adapter, United States - Remote
What you will do
- Use the latest cutting edge technologies such as LLMS, multimodal models to handle complex problems.
- Work with large datasets, perform data preprocessing, and engineer relevant features to enhance model performance.
- Build frameworks that allow us to iterate and evaluate model versions (ranking, accuracy, latency).
- Deploy Models at Scale: Collaborate with software engineers to deploy machine learning models into production, ensuring seamless integration with existing systems.
- Monitoring and Maintenance: Implement monitoring solutions to track model performance in real-time and perform regular maintenance and updates as needed.
- Collaboration: Work closely with cross-functional teams, including data scientists, software developers, and business analysts, to understand requirements and deliver impactful solutions.
- Research and Innovation: Stay abreast of the latest advancements in machine learning and contribute to the research and development of innovative solutions.