Top Machine Learning Jobs in Orlando, FL

The DDF Engineering Lead will oversee a team of data engineers and DevOps engineers, driving the delivery of data products and implementing DataOps practices. Responsibilities include collaborating with cross-functional teams, optimizing data pipelines, ensuring adherence to governance policies, and promoting data quality. This role requires significant technical leadership and stakeholder engagement to maximize data utilization for business value.

The Implementation Consultant at Tekion is responsible for overseeing dealership user training, providing DMS training, guiding implementation specialists, managing operational tasks, and ensuring positive dealer interactions. The role involves deep knowledge of the automotive industry, Tekion products, and implementation processes.

The role involves developing algorithms and applications for analyzing reliability data, performing statistical analysis, and utilizing machine learning to predict product reliability. Additional responsibilities include building data-driven applications, organizing insights from data, and ensuring model scalability across solutions.

The Principal Data Insight Analyst at Northrop Grumman will create data mining architectures, statistical reports, and data analysis methodologies to identify trends in large datasets. The role involves collaborating with business stakeholders, managing data integrity, and developing predictive models while ensuring compliance with security clearances.

The Lead Product Learning Expert will develop and deliver comprehensive training programs focused on service and parts for Tekion's automotive platforms. Responsibilities include creating training materials, assessing learner outcomes, and collaborating with internal teams to enhance tool usage and process documentation. This role is critical for improving team performance and ensuring consistent learning experience across the company.

As a Staff Product Manager for Notifications Relevance, you will create a vision for the Notifications platform, collaborate with ML engineers and data scientists to enhance user retention through effective notifications, and lead a culture of experimentation. You'll analyze user behavior and mentor other product managers to drive growth and engagement on Pinterest.

As a Staff Data Engineer, you will lead the evolution of the CS Data Platform, building and maintaining data pipelines and APIs, collaborating with cross-functional teams to improve data handling capabilities for AI-driven customer support solutions.

The Head of Knowledge & Enablement will design and execute knowledge-sharing and enablement programs for internal teams and customers, enhance resource accessibility, and develop AI strategies for case deflection. The role requires leadership, collaboration with various teams, and a focus on customer care.

As a Strategic Fraud Analyst, you will design and implement fraud prevention strategies, analyze fraud patterns, collaborate with cross-functional teams, and support customer fraud strategies. You'll also produce reports on fraud trends and stay informed about financial fraud developments.

The Senior Product Manager will lead the refinement and improvement of core recommendation and ranking models for Yahoo News, collaborating with engineers, data scientists, and journalists to enhance the user experience through thoughtful ML applications, A/B testing, and quality assurance processes.

The Data Scientist, Computer Vision at Sensei Ag will focus on creating machine learning models to automate greenhouse tasks. Responsibilities include collaborating with stakeholders to understand data needs, developing machine learning approaches, encoding algorithms into pipelines, and communicating insights effectively.

The Security Engineer II will conduct comprehensive security assessments of AI/ML systems, focusing on vulnerabilities in model architectures and training processes. Responsibilities include threat modeling, developing security frameworks specific to AI/ML, and conducting application security assessments. The role involves client engagement, delivering training on AI security concepts, and contributing to policy initiatives.

The Data Science Senior Manager will lead the Lingo Data Science team, focusing on building next-generation Biowearables. Responsibilities include developing machine learning models, analyzing biological data, discovering trends in large data sets, conducting advanced statistical analyses, and designing signal processing algorithms.

The Sr Product Manager will lead product strategy for Generative AI-based scam detection, oversee cross-functional teams, manage the product lifecycle, and drive user-centric development while analyzing market trends and stakeholder needs.

The Product Owner is responsible for defining the vision for AI capabilities, collaborating with stakeholders to gather requirements, managing the product roadmap, ensuring quality and security, and leading agile methodologies. The role requires business acumen, data literacy, and experience in user research and cross-functional team leadership.

As a Senior Data Scientist at Pinterest, you will leverage your expertise in quantitative modeling and experimentation to tackle complex engineering challenges, collaborating cross-functionally to provide insights that enhance product development for millions of users.

The Senior Product Manager, Data Platform will lead the full product lifecycle for Tealium's data platform, including market research, requirements gathering, and product delivery while collaborating with various teams to enhance customer data infrastructure and insights.