
Optimize Machine Learning Systems
5 days ago
This role involves the development and maintenance of backend architecture, software engineering fundamentals, and applied machine learning expertise.
- Develop robust backend systems and APIs to deploy and scale ML solutions, ensuring efficient performance and collaborating with front-end developers to integrate user-facing elements.
- Build scalable cloud-supported backend solutions using cloud-native infrastructure (AWS).
- Implement machine learning lifecycle workflows from experiment tracking (MLflow/Kubeflow/DVC) to orchestration (Airflow/Prefect).
- Contribute to end-to-end product development: data ingestion, preprocessing, model serving, monitoring and continuous improvement.
- Collaborate with cross-functional teams in a fast-paced environment.
Key Responsibilities:
Backend Development- Design and develop scalable backend architectures for machine learning applications.
- Implement efficient algorithms and data structures to ensure optimal system performance.
- Work with founding engineers to embed intelligent agents and predictive models into backend workflows.
- Use predictive learning through machine learning algorithms to drive decision-making capabilities.
Working Environment:
Collaborative and fast-paced environment with opportunities to contribute to end-to-end product development.
Benefits:
- Opportunity to work with cutting-edge technology and innovative projects.
- Chance to collaborate with cross-functional teams and build professional relationships.
- Professional growth and development opportunities.
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