Machine Learning Lead

·        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.