Machine Learning Lead
4 months ago
Lead the design and development of machine learning systems and deep learning models.
- Design and implement machine learning models using AWS services like SageMaker, Lambda, and EC2.
- Drive the team's adoption of AWS best practices for machine learning and AI.
- Run machine learning tests and experiments to ensure the robustness and reliability of models.
- Study and transform data science prototypes into scalable solutions.
- Lead initiatives to explore and implement General AI concepts within our cloud-based machine learning models.
- Develop strategies to leverage Gen AI for creating adaptive and self-improving AI systems using cloud services.
- Research and stay updated with the latest machine learning and cloud services developments.
- Provide mentorship and technical leadership to the AI/ML development team.
- Ensure data governance, security, and compliance measures are in place for AI/ML platforms.
- Optimize AI/ML workflows for performance, cost efficiency, and resource utilization.
**Requirements**:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Minimum of 8 years of experience in machine learning and AI.
- Proven experience as an ML Technical Leader or similar role.
- Strong machine learning, statistics, programming, and data science expertise.
- Familiarity with cloud service platforms and machine learning frameworks.
- Ability to manage multiple projects simultaneously and work under pressure.
- Familiarity with cloud data storage, orchestration, and computation services.
- Excellent leadership skills with the ability to manage and inspire a team.
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