Top Python Jobs in Orlando, FL

Lead and manage digital implementation projects, focusing on asset digitization and customer satisfaction. Collaborate with cross-functional teams to deliver effective digital solutions.

Lead the implementation and troubleshooting of automated machine vision and machine learning systems, enhancing quality assurance for CHEP's operations across the Americas.

The Product Innovation Engineer will lead product development efforts, conduct technical analysis, manage projects, and collaborate globally to support digital product initiatives and working towards sustainability.

Design, implement, and maintain observability stack including monitoring, logging, and visualization for performance efficiency across various cloud platforms and infrastructures.

The Senior Analyst supports risk-based capital modeling and analytics, optimizing capital management while collaborating across teams to enhance decision-making processes.

Lead exploration and implementation of vehicle control strategies, manage project schedules and budgets, provide mentorship, and conduct research for advanced control systems.

The Technical Support Engineer will troubleshoot and resolve escalated issues, analyze support trends, implement solutions, and collaborate with various teams.

The Lead AI Engineer will develop data and analytics solutions, utilize machine learning and AI, integrate with CRM systems, and mentor team members.

The Cloud Engineer will design and manage Azure infrastructure, build CI/CD pipelines, integrate serverless functions, and optimize cloud performance. Requires hands-on experience with Azure services and DevOps.

As a Software Engineering Intern, you will collaborate on real-world projects, assist in design and testing of software solutions, learn best practices, and contribute to team goals while gaining hands-on experience.

The Senior Data Steward will ensure data integrity across the organization, monitor data quality, and analyze datasets to provide actionable insights supporting decision-making in underwriting and fraud prevention.

As a Market Operations Associate for Options, you'll manage operational tasks, improve processes, support risk management activities, and collaborate on product functionality.

Lead design and development of enterprise data platform, overseeing data services and pipelines, ensuring reliability and governance, mentoring teams, and optimizing processes.

As a Customer Success Manager at TigerData, you'll drive customer adoption, retention, and success through data-informed strategies while fostering relationships with technical and business stakeholders.

Design and scale modern documentation and education for developers, create hands-on content, and collaborate across teams to ensure effective learning experiences.

The Principal Cloud Database Engineer designs and implements cloud-based database solutions, manages cloud databases, optimizes performance, and ensures data security and compliance, collaborating with teams to enhance operational efficiencies and resilience.

As a Senior Technical Consultant, you'll lead data migration and integration projects, serving as a liaison for technical inquiries and providing solutions to clients. You'll work closely with teams to enhance processes and documentation while ensuring successful software implementations.

The Network Administrator is responsible for maintaining network security, integrity, and performance in cloud and on-premises environments, focusing on Azure networking and architecture.

Lead the development of digital integration platforms and architecture initiatives, focusing on coding, team building, and strategic leadership in digital transformation.

The Data Scientist will apply advanced statistics and machine learning to analyze data, design prediction algorithms, and collaborate with engineering for insights and improvements.

The intern will assist in developing algorithms for autonomous behaviors, machine perception, and robotic control systems for unmanned aerial systems, gaining hands-on experience in a collaborative R&D environment.

The Principal Data Engineer will define data architecture, design pipelines, ensure data quality and governance, oversee data security, and lead technical teams to create durable data products for analytics and ML.

Design and maintain scalable web applications, collaborate with teams, implement front-end interfaces, ensure high-quality code, and research new technologies.

The role involves developing scalable Python applications, maintaining ML frameworks, creating ML workflows, and collaborating on model improvement, while mentoring junior engineers.

The VP of Encryption & PKI leads the security of sensitive data through encryption and PKI solutions, managing a team and ensuring compliance with cybersecurity standards.