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Python AI/ML and Generative AI Engineer

Purple Drive Technologies LLCTampa, FL🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationTampa, FL, United States
MicroservicesSpringSpring BootGitApacheDeep LearningHTTPJavaJenkinsKafkaPythonMachine LearningAgileData AnalysisCI/CDLinuxMavenLangChainLangGraph

Job description

Job Summary

Design and implement scalable AI/ML solutions from proof of concept through production. Translate business requirements into AI architectures, manage the model lifecycle, and collaborate with technical and business stakeholders to deliver reliable, secure, and production-ready solutions.

Must Have Technical/Functional Skills

  • Proficiency in distributed and multi-tier systems and application development, with strong Python and Java programming skills.
  • Hands-on experience with Spring Boot, microservices, Kafka, and relational and/or NoSQL databases.
  • Experience with conversational interfaces, chatbots, machine learning, deep learning, data analytics, large language models, LangChain, and LangGraph.
  • Experience with Agile development, continuous integration, continuous delivery, and CI/CD pipeline tools.
  • Experience with automated release management using Maven, Salt, Git, and Jenkins.
  • Understanding of web technologies, including HTTP and Apache, and familiarity with Unix/Linux.
  • Understanding of data structures, algorithms, and design patterns.
  • Strong written communication and documentation skills.
  • Knowledge of contact center ecosystems and the Genesys Framework and architecture is preferred.

Roles & Responsibilities

  • Design and implement AI/ML solutions from proof of concept through production.
  • Translate business requirements into scalable AI architectures.
  • Own the model lifecycle, including training, deployment, monitoring, and retraining.
  • Deploy models into production using CI/CD pipelines.
  • Monitor model performance, drift, latency, and cost.
  • Ensure the reliability, scalability, security, governance, and compliance of AI systems.
  • Mentor junior AI/ML engineers and review code and designs.
  • Lead technical discussions and architecture reviews and provide guidance on best practices and standards.
  • Collaborate with Product Owners, Architects, and Program Managers.
  • Present technical solutions to business and customer stakeholders.
  • Support proposal development and technical estimations.

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