Python AI Engineer ClifyX, INCPython AI EngineerSunrise, FLThe role involves building robust data processing solutions, optimizing relational databases, and implementing automated testing frameworks for enterprise-grade applications. Java, API, Python, Cloud, Microservice based architecture, Spring boot, Vertex, Kafka, RDBMS, No SQL, Maven, GIT, Jenkins, CI/CD.
Jr. Python Developer Tellus SolutionsJr. Python DeveloperBoca Raton, FLScripting and Code Development: Creating and maintaining scripts, code, and integrations using various technologies (like HTML, CSS, XML, JSON, Python, Java, PHP, etc.) to automate content tasks, improve workflows, and personalize content experiences. Content Integration and Delivery: Ensuring seamless integration of content with various systems and tools (e.g., Content Management Systems, APIs) and facilitating efficient content delivery across multiple channels.
Senior Python / Machine Learning Engineer - Ft Lauderdale FormativGroupSenior Python / Machine Learning Engineer - Ft LauderdaleFort Lauderdale, FloridaThis role focuses on building and operationalizing machine learning models, supporting end-to-end data workflows, and integrating AI capabilities into broader application ecosystems. The role of the Senior Python Engineer is to design, develop, and deploy machine learning solutions that transform data into actionable insights, while ensuring scalability, performance, and integration into production systems.
Senior Data Platform Engineer (Python & Databricks) CodelittSenior Data Platform Engineer (Python & Databricks)Miami, FLRemoteWe partner with companies around the world to design and build meaningful digital products, modernize complex systems, and solve challenging technical problems. You will work across Python services, APIs, data pipelines, and data models while collaborating closely with an established engineering team in New York.
GenAI Python Systems Engineer-Director PricewaterhouseCoopers LLPGenAI Python Systems Engineer-DirectorMiami, FL$155,000–$410,000 / yearCertification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy .
Senior Professional Software Engineer (Python) CotalitySenior Professional Software Engineer (Python)Sunrise, FloridaDevelop Ontology Authoring Tooling: Design and implement interactive UI components that enable domain modelers, data stewards, and SMEs to create, view, and manage the unified enterprise ontology without direct code edits. Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy.
Principal Software Engineer (Python) CotalityPrincipal Software Engineer (Python)Sunrise, FloridaEstablish Systematic Evaluation: Collaborate with Knowledge Engineering and Data Science teams to replace "vibe checks" with rigorous automated testing frameworks, utilizing metrics like Faithfulness, Answer Relevance, and Context Precision (RAGAS) to ensure quality during rapid scaling. Model Optimization (LLM & SLM): Partner with the Data Science team to architect intelligent routing logic that leverages Small Language Models (SLMs) for high-speed classification/extraction and Large Language Models (LLMs) for complex synthesis.
Principal Software Engineer (Python) CoreLogicPrincipal Software Engineer (Python)Sunrise, FLEstablish Systematic Evaluation: Collaborate with Knowledge Engineering and Data Science teams to replace "vibe checks" with rigorous automated testing frameworks, utilizing metrics like Faithfulness, Answer Relevance, and Context Precision (RAGAS) to ensure quality during rapid scaling. Model Optimization (LLM & SLM): Partner with the Data Science team to architect intelligent routing logic that leverages Small Language Models (SLMs) for high-speed classification/extraction and Large Language Models (LLMs) for complex synthesis.