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The role involves leading a team to develop machine learning models, analyze large datasets, and translate complex data insights into business goals. Requires collaboration with cross-functional teams to enhance decision-making and model validation.

The Principal Coordinator will oversee administration and facility management, ensuring service quality, budget compliance, and vendor performance, while performing general admin functions including security and transport management.

Assist the Principal HR Specialist in supervising HR coordinators and ensuring day-to-day operations in various HR functions, achieving standards and goals.

The role involves leading AI research projects, building AI foundation models, collaborating with engineering teams, and mentoring applied scientists to enhance customer interactions through AI.

Responsible for identifying supplier management pain points, driving product development, conducting data analysis, and leading cross-functional teams.

The Director of Data Analysis will lead data management strategies, oversee data quality, and manage a team of data professionals while ensuring compliance and effectiveness in a fast-paced environment.

Assist in HR Records and Data Management responsibilities, support specialists, maintain records, ensure data accuracy, and assist in projects.

Design, build, deploy, and maintain production ML models and data pipelines at scale. Collaborate with product and data science teams, apply ML best practices, monitor model performance, and use cloud and CI/CD tooling to ensure resilient, governed, and explainable ML systems.

Lead a team delivering cloud-based full-stack microservices to meet regulatory needs; collaborate with product managers, mentor engineers, experiment with new tech, and build scalable solutions using modern languages, databases, containers, and AWS services.

Lead production of machine learning applications, provide technical expertise, and mentor engineers to drive ML model delivery at scale.