• 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.

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.