Top Python Jobs in Miami, FL

Develop biomechanics algorithms, manage large datasets, perform applied biomechanical analyses for coaches and medical staff, lead R&D to validate data quality and ROI, collaborate on visualization and API integration, and ensure production-quality testing.

Manage end-to-end CMS EDS claim and supplemental submission workflows, monitor and resolve encounter data errors, build pipeline tracking and operational dashboards, collaborate with Engineering and Risk Adjustment, and maintain documentation and controls for compliant CMS submissions.

Design, build, and maintain backend services and APIs (REST/GraphQL) using modern .NET. Build cloud-native, event-driven systems on AWS, integrate third-party APIs, own features end-to-end, and participate in code reviews, design discussions, and operational improvements to ensure reliability and scalability.

The consultant will design data solutions using Python and Databricks, build data pipelines, and support analytics for Federal customers, ensuring infrastructure meets demands.

The PCB Software Test Engineer will develop and execute test plans for PCB software, ensuring quality and compliance through automated and manual testing.

The role involves managing Oracle Cloud environments, implementing CI/CD pipelines, automating processes, monitoring platform health, and ensuring compliance with FedRAMP for federal HCM systems.

The Tech Lead collaborates with machine learning teams to improve AI voice deployment, optimizing performance and stability of services using Python and cloud technologies.

The Software Engineer role involves developing and operating AI Voices in a cloud environment, enhancing performance, and resolving production issues. Candidates should have experience with Python services and cloud deployment, ideally with Kubernetes.

The role involves deploying ML models, improving performance of AI services, and operating production services in a fast-paced environment. Candidates should have experience with Python, cloud environments, and containerized deployments.

As a Software Engineer, you will work with AI researchers to deploy models, improve performance, and deliver critical services.

The role involves collaborating with teams to deploy ML inference workloads, improve model performance, and enhance system visibility for AI Voices.

The role involves collaborating with machine learning researchers to deploy and operate core ML workloads, improve performance, and develop visibility tools for production services.

The Senior Software Engineer will work with machine learning teams to enhance AI Voices, manage ML inference workloads, and improve deployment performance.

The Senior Software Engineer will enhance AI models, operate core ML workloads, and improve system efficiency, while collaborating with teams to enhance user experience.

The Senior Software Engineer will work with machine learning teams to deploy AI models, improve performance, and manage production services.

As a Senior Software Engineer, you'll deploy AI Voices, optimize ML workloads, and enhance system performance while collaborating with cross-functional teams.

As a Senior Software Engineer, you will work with machine learning teams to improve AI Voice products, deploy ML workloads, and enhance efficiency. You will build tools to identify and solve bottlenecks in production services.

The role involves collaborating with ML researchers, deploying ML workloads, improving model performance, and addressing operational bottlenecks.

Develop and maintain data lake platforms, write reliable code for data pipelines, and collaborate with senior engineers on design and architecture.

The HubSpot Integration Specialist designs, implements, and manages integrations between HubSpot and other systems, ensuring data accuracy, troubleshooting issues, and optimizing workflows. This role requires collaboration with various teams and effective communication skills.

The Senior Software Engineer will design and develop scalable software systems using C/C++ and Python, focusing on Linux and networking. Responsibilities include debugging, collaborating with teams, and mentoring juniors.

The Lead Data Engineer manages healthcare data products, mentors teams, architects secure pipelines, ensures compliance, and establishes best practices for data integration and processing.

Design and build real-time market data processing systems, providing technical leadership and innovating with emerging technologies for enhanced efficiency.

Lead the design and optimization of ML systems at Scribd, managing cross-team projects, mentoring engineers, and shaping technical direction for ML initiatives.

The Software Engineer II will design and optimize distributed systems for processing metadata, collaborating closely with cross-functional teams to integrate machine learning models into production pipelines.