· 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.
· Implement appropriate ML algorithms and tools for various applications.
· 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.
· Collaborate with cross-functional teams to integrate machine learning models into cloud-based applications.
· 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.
· 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.