Top Machine Learning Jobs in Orlando, FL

Manage and mentor engineers, contribute to product and infrastructure, drive projects, and collaborate cross-functionally to enhance AI platforms.

This role involves training AI models in Energy and Power by providing feedback on outputs, problem-solving, and identifying biases in the AI's knowledge base.

As an AI Tutor, you will teach, evaluate, and red-team AI models in data science principles, focusing on statistical modeling, machine learning, and data ethics.

As an AI Engineer, you'll develop features, curate data, train models, evaluate performance, and lead technical initiatives in AI.

As a Back-End Software Engineer, you will develop AI solutions, optimize data processing pipelines, and mentor junior engineers, ensuring the system's scalability and performance.

The Data Engineer will design and maintain ETL pipelines and data storage solutions, collaborating with cross-functional teams to ensure efficient data processing and delivery.

As a Sr. Solutions Architect III, design and deliver technical solutions, optimize architecture for performance, and collaborate with cross-functional teams while engaging with government stakeholders.

As a Recruiter at Voleon, you will manage full-cycle recruitment processes, engage with hiring managers, develop candidate pipelines, and ensure an exceptional candidate experience to support business growth.

The role demands building and deploying scalable LLM inference platforms, enhancing operational excellence, and integrating optimizations across teams.

As Engineering Manager, lead the Data Science Team in delivering impactful solutions through data analysis and machine learning, fostering collaboration, and mentoring team members.

As a Data Science Intern, you will apply statistical and machine learning techniques to solve problems in the insurance industry, collaborate with experienced data scientists, and present your findings to stakeholders.

The Business Operations Associate will drive data-driven decisions, optimize processes, and analyze performance metrics to support growth strategies.

The Senior Responsible AI Data Scientist will lead ethical AI initiatives, ensuring compliance and transparency while working cross-functionally to develop scalable AI solutions in healthcare.

As a Product Management Intern, you'll design and prototype customer-facing features, analyze user needs, and collaborate with a cross-functional team to deliver impactful product solutions within the insurance technology space.

As a Machine Learning Platform Engineer, you will enhance ML infrastructure, optimize data pipelines, and support ML model performance, addressing user needs and maintaining high-quality code.

As a Senior Staff Software Engineer, you will design scalable infrastructure for ML models, optimize performance, and collaborate with teams to enhance ML experimentation tools.

The Senior Machine Learning Engineer will develop AI workflows, collaborate with teams on models and pipelines, conduct research, mentor junior members, and innovate solutions for healthcare.

Lead and manage a team of machine learning engineers to develop AI-driven tools for clinicians, ensuring project success and team growth.

The role involves designing, optimizing, and deploying machine learning models for edge environments, focusing on computer vision. The engineer will collaborate with teams to integrate models and improve inference efficiency while mentoring peers and upholding company values.

The Principal Product Manager will define and execute the product roadmap for the Data and AI Platform, collaborating with engineering and sales to develop AI-powered identity security solutions.

Design and develop edge AI firmware for camera systems, ensuring accurate AI algorithms, collaborating on architecture, and mentoring engineers.

The AI Executive Partner provides strategic advisory support to C-Suite members, leveraging AI to drive organizational outcomes and build relationships while managing member engagements.

As an AI Applications Engineer, you will bridge AI research and implementation, driving experiments, building infrastructure, and releasing products to improve user experience and metrics.

The Machine Learning Engineer will develop and deploy AI/ML solutions, collaborate with data scientists and engineers, and enhance the platform experience.

As the founding ML Engineering Manager, you'll develop and execute ML strategies, lead engineers, prototype LLM-powered features, and enhance engineering practices within a diverse team.