Hybrid Senior Manager, Artificial Intelligence

at Cruise Planners Travel Agency

• Job title: Senior Manager, Artificial Intelligence
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, EC2, MySQL, Python, PyTorch, Scikit-Learn, SQL, Tensorflow
• Location requirements: Hybrid, Coral Springs, United States

About the role

• Senior Manager overseeing AI-driven initiatives at Cruise Planners. Managing AI infrastructure on AWS and guiding projects for business efficiency.

Responsibilities

• Manage the execution of the company’s AI roadmap in alignment with strategic business goals.
• Oversee AI infrastructure operations, including deployment, scaling, and optimization within AWS environments.
• Supervise and mentor AI engineers, data scientists, and developers to ensure project success.
• Ensure reliable integration between AI systems, the central MySQL database, and enterprise software applications.
• Collaborate with cross-functional teams to identify opportunities for AI implementation and efficiency improvement.
• Assist in evaluating and implementing appropriate machine learning frameworks, libraries, and cloud-based tools.
• Maintain best practices for AI model lifecycle management, including data preparation, training, validation, and deployment.
• Support compliance with data privacy, security, and governance standards for all AI initiatives.
• Track and report on project progress, performance metrics, and deliverables.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 7+ years of experience in software engineering, data science, or AI/ML development, with 3+ years in a leadership or supervisory role.
• Solid understanding of AWS cloud services (SageMaker, EC2, Lambda, S3, RDS, etc.) and infrastructure management.
• Proficiency in Python, SQL, and at least one major machine learning framework (TensorFlow, PyTorch, Scikit-learn, etc.).
• Experience working with large data environments, including relational databases and data lakes.
• Understanding of API development, integration, and automation pipelines.
• Familiarity with DevOps and MLOps principles for AI model deployment.
• Strong organizational and problem-solving abilities.

Benefits

• Equal employment opportunities (EEO) to all team members and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, or status as a covered veteran in accordance with applicable federal, state and local laws.