Key Responsibilities
- Develop and deploy scalable AI/ML models and infrastructure for the organization Cloud Data Management.
- Collaborate with cross-functional teams to design, review, and optimize machine learning systems.
- Implement and maintain ML pipelines for model training, evaluation, and deployment.
- Debug and troubleshoot issues in production systems, ensuring reliability and performance.
- Contribute to technical documentation and educational content for internal and external stakeholders.
- Triage and resolve product or system issues with a focus on ML infrastructure.
Requirements
- Bachelor’s degree in Computer Science or equivalent practical experience.
- 2+ years of programming experience in Python or C++.
- 1+ year of experience with ML infrastructure (e.g., model deployment, evaluation, optimization, data processing).
- 1+ year of experience in speech/audio, reinforcement learning, or other ML specializations.
- Strong understanding of data structures and algorithms.