GenAI Engineer Lead Tampa - FL - Florida jobs in United States
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Jobs via Dice ยท 2 days ago

GenAI Engineer Lead Tampa - FL - Florida

positionTampa, FL
timeFull-time
remoteOnsite
seniorityLead/Staff

Jobs via Dice is seeking a GenAI Engineer Lead who is a versatile Full-Stack AI Engineer proficient in backend and frontend development. The role involves working closely with cross-functional teams to develop scalable web applications and integrate AIML technologies into intelligent application features.

Computer Software

Responsibilities

Work closely with cross-functional teams to develop scalable web applications featuring a Node.js and Python backend, React-based frontend, and AIML-powered functionalities leveraging tools like Scikit-learn, TensorFlow, Azure ML, and Langchain
Passion for cutting-edge machine learning integrations and delivering high-quality, performant software
Proficiency in Node.js, TypeScript, Python, React, and JavaScript-based libraries
Experience in integrating AIML models and workflows into backend systems to enable intelligent application features
Strong understanding of application architecture, security, and performance optimization
Collaborative mindset to work with UXUI designers and product teams to deliver seamless user experiences
Ability to develop and deploy machine learning models using Scikit-learn and TensorFlow, with cloud-based orchestration through Azure ML

Qualification

Node.jsPythonReactAIML integrationScikit-learnTensorFlowAzure MLTypeScriptJavaScript librariesApplication architectureSecurityPerformance optimizationCollaboration

Required

Proficiency in Node.js, TypeScript, Python, React, and JavaScript-based libraries
Experience in integrating AIML models and workflows into backend systems to enable intelligent application features
Strong understanding of application architecture, security, and performance optimization
Collaborative mindset to work with UXUI designers and product teams to deliver seamless user experiences
Ability to develop and deploy machine learning models using Scikit-learn and TensorFlow, with cloud-based orchestration through Azure ML

Company

Jobs via Dice

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web-link
https://www.dice.com

Funding

Current Stage
Early Stage
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