Top Machine Learning Jobs in Orlando, FL

The Senior Analytics Engineer will translate business needs into technical specifications, build analytics solutions, and develop complex data transformations within the Arine data lake while collaborating with various teams. The role requires creating data models and visualizations to present data in action-oriented formats.

Limitless is looking for a Senior / Staff Software Engineer (Systems Backend) to help build scalable and robust backend systems, integrate APIs, and deploy features that respect user data. Join a small team with a big impact on human intelligence augmentation and AI. Benefits include top-of-market compensation, remote-first work, and more.

As a Principal Product Manager for SentinelOne's AI/ML team, you will define and execute the product vision and roadmap, prioritize features, conduct market research, and collaborate with cross-functional teams to develop AI-powered cybersecurity solutions. Your role will require managing product releases, working with sales and marketing on strategies, and continuously improving product offerings based on customer feedback and market trends.

The VP of Technology, Data & AI is responsible for leading a team of data and AI engineers, shaping data strategies, overseeing data architecture, and driving innovative AI solutions. This role involves collaboration across teams to ensure project delivery aligning with business goals, while fostering a culture of innovation and excellence.

As a Data Scientist Manager, you will lead projects transforming clients through data, develop data science products, mentor junior team members, and write optimized code while enhancing client relationships and promoting team happiness.

As an MLOps Engineer, you will design and maintain scalable infrastructure and pipelines for machine learning, collaborate with data scientists and engineers to deploy models, automate CI/CD pipelines, and optimize workflows for performance and cost. You will also ensure compliance and security throughout the MLOps lifecycle.

The Senior Big Data Hadoop ML Engineer will develop and maintain scalable batch processing systems primarily using the Apache Hadoop ecosystem, implement CI/CD best practices, and manage Machine Learning workloads on GCP.

The Senior Technical Program Manager will lead automation initiatives for customer self-service at Coinbase, focusing on workflow analysis, strategy development, quality assurance, and performance measurement while collaborating with cross-functional teams. The role requires strong project management and technical skills, along with a deep understanding of customer needs.

The Senior Principal AI/ML Engineer will lead the development of machine learning and generative AI solutions. Responsibilities include mentoring teams, collaborating with stakeholders, and driving innovation in analytics and ML applications that impact business decisions.

As a Principal Engineer for the ML Training Platform, you will lead a high-visibility team to design and optimize scalable ML data processing and model training solutions in the AWS cloud, utilizing Kubernetes and various deep learning frameworks. You will collaborate with multiple teams to deliver autonomous vehicle software and manage technical risks.

As a Senior Software Engineer on the MLOps team, you will design, develop, and maintain software applications while leading complex projects. You will mentor junior engineers, ensure code quality, implement best testing practices, and contribute to cloud solutions. Additionally, you'll work with data science models and lead MLOps initiatives to enhance the platform.

The Software Engineer (ML) at Tavus will develop features utilizing computer vision and NLP, manage ML Ops tasks such as testing and data processing, and improve generative AI models. The role requires ownership of technical direction and collaboration to enhance the company’s AI capabilities.

The Senior Manager of AI/ML Engineering at Nike is responsible for leading teams of engineers and data scientists to deliver scalable AI/ML solutions, drive innovation, and enhance engineering best practices. This role involves mentoring staff, aligning efforts across teams, and staying updated on industry trends.

The Senior Data Scientist will lead projects focusing on Machine Learning and AI, developing and deploying NLP and LLM models, conducting data analysis to derive insights, and collaborating with cross-functional teams to integrate solutions. Responsibilities include coding, model optimization, project management, and clear communication of insights to stakeholders.

The Full Stack Engineer III leads the development of AI-powered applications, analyzes complex business logic, collaborates with teams, and mentors junior engineers. They ensure adherence to software standards and best practices while leveraging various technologies to optimize digital applications.

The Senior Machine Learning Engineer will design and implement complex machine learning models, conduct experiments and validations, develop efficient infrastructure for ML models, and mentor junior team members. They will also stay updated with the latest developments in the field and communicate project results to stakeholders.

The Sr Software Engineer will design, deploy, and maintain ML infrastructures, focusing on optimizing model performance through CUDA and GPU technologies. The role involves implementing CI/CD pipelines, resource scheduling, and collaboration on architectural development to enhance AI solutions.