Top Machine Learning Jobs in Orlando, FL

The Lead Data Scientist will build and mentor a team, define the technical vision, design advanced search algorithms, develop machine learning models to personalize user experiences, conduct data analysis, and collaborate with product teams to turn business needs into data projects.

As a Senior Machine Learning & Computer Vision Engineer at Dandy, you will build advanced models for 3D scans, research state-of-the-art methods for generative deep learning, and collaborate with cross-functional teams to enhance product offerings. Your role involves working with large datasets, implementing MLOps best practices, and innovating new solutions in a growing team environment.

The Senior Machine Learning Platform Engineer will architect and build efficient machine learning systems, collaborate with data scientists, ensure operational excellence, develop model management tools, and mentor team members to foster continuous improvement.

As a Distinguished Engineer at iSpot.tv, you will provide technical leadership, drive architecture and design for data measurement platforms, and mentor engineers. You will focus on large-scale data processing, cloud-native solutions, and real-time analytics while collaborating with various teams to tackle complex challenges and enhance scalability.

The Senior Machine Learning Engineer at Workiva will design and implement machine learning solutions, focusing on MLOps and software engineering best practices. Responsibilities include developing tools for ML infrastructure, mentoring team members, and delivering high-quality ML features. The role involves debugging, collaborating across teams, and maintaining a robust machine learning environment while ensuring service availability.

The Enterprise Account Executive will prospect and close new business across North America, nurture client relationships, manage sales forecasts, and articulate the value of Comet's products. They will work closely with technical teams and help customers during the trial phase, emphasizing the importance of a strong relationship with the Customer Success team.

As a Senior Data Scientist at Rocket Money, you'll build machine learning-driven features in collaboration with engineering, product, and design teams. You'll also optimize product feedback loops, develop automation for budgeting tools, construct customer segmentation models, run experiments to gauge impact, and ensure accuracy in transaction categorization systems. You'll lead projects, drive strategy, and focus on enhancing customers' financial experiences.

The Machine Learning Engineer I develops and implements machine learning models, focusing on transforming prototypes into scalable solutions. Responsibilities include model deployment, data preparation, optimization, collaboration with product teams, and ensuring model performance in production environments.

The Sr. Product Manager for Conversion Visibility will lead a cross-functional team, focusing on conversion attribution, which connects user activity with conversions on advertiser websites. Responsibilities include developing product vision, strategy, requirements, and collaborating across teams like engineering, design, and research to enhance customer impact.

The Business Development Director will drive new business and revenue growth for Fuel iX by maintaining a pipeline of enterprise opportunities, tailoring solutions to customer needs, and engaging with C-suite prospects. This role requires effective communication of the Fuel iX value proposition, exceeding sales goals, and collaborating with internal teams. Knowledge of AI and machine learning trends is essential.

In this role, you will advance Ostro's engagement product by addressing the challenges life sciences brands face in engaging consumers and HCPs. You will shape the product roadmap, conduct user research, and collaborate with stakeholders to translate needs into product requirements.

As the Lead Data Scientist, you will establish a data science practice, collaborate with various teams to optimize systems, leverage data for strategic decisions, and utilize advanced analytics techniques to derive insights that drive business outcomes.

As an AI Engineer, you'll develop AI features from conception to integration, curate and process data for model training, fine-tune LLMs for specific applications, evaluate model performance, and provide technical leadership on AI practices.

The Program Manager leads the Digital Enablement program, acting as a liaison between Professional Services and development teams. Responsibilities include managing communication strategies, overseeing project lifecycles, advocating for digital initiatives, and establishing performance metrics for program success.

The Technical Account Manager will manage client relationships, oversee deliverables, and coordinate with internal teams to ensure client success. Responsibilities include leading project implementation, addressing technical issues, and supporting sales by providing technical enablement. The role requires strong communication and strategic thinking to align technical solutions with business value.

The Solution Consultant/Sales Engineer will collaborate with Sales, Product, and Client Engagement teams to deliver tailored product demonstrations and technical solutions to clients. They will bridge the gap between Strategic Workforce Planning offerings and client requirements by providing insights on finance, planning, and talent management, designing solutions, and supporting the implementation process.

The Conversational AI Designer will lead the design and implementation of AI conversation models, collaborate with cross-functional teams, ensure AI model quality, and help customers use Cresta Opera for their AI solutions. Responsibilities include managing projects, developing virtual agents, and delivering enablement programs.