Top Machine Learning Jobs in Tampa Bay, FL

The AI/ML Software Engineer at Coda will build AI-driven products to solve user problems using language models, enhancing user experience, and collaborating with other teams on product features. They will handle model creation and production as well.

The Full Stack Engineer III will design, develop, and integrate AI and ML solutions into existing platforms. Responsibilities include working with both front-end and back-end technologies, optimizing applications, and collaborating with cross-functional teams to deliver innovative solutions.

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 Senior Software Engineer will design and maintain ML infrastructures using Kubernetes, optimize ML inference with CUDA, and enhance CI/CD processes. The role involves leading model scheduling and resource allocation efforts while collaborating with teams to innovate ML deployment systems.

The Senior Software Engineer will collaborate with experts to build scalable machine learning solutions for autonomous systems, focusing on data management and workflow orchestration. Responsibilities include designing and implementing cloud services and optimizing training pipelines.

The Staff Machine Learning Engineer will develop and fine-tune machine learning models, apply statistical techniques to analyze unstructured data, utilize pre-trained language models, optimize models for production, monitor performance, and work with teams to enhance product features and solutions.

As a Staff Machine Learning Engineer at Fakespot, you will apply machine learning techniques to analyze unstructured data, develop and fine-tune models for text-related tasks, optimize models for production, monitor performance, and collaborate with cross-functional teams to enhance features and solutions.

As an MLOps Specialist, you will design and implement data systems and architectures to enhance data science processes. Collaborate with data scientists to improve modeling pipelines, build infrastructure, and handle data transformation. This role involves deploying models in production environments, utilizing cloud services like AWS, and supporting a team-oriented culture.