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Apprentice Generative Ai Engineer Jobs in Boca Raton, FL

WorkNovas LLC

Gen AI Engineer

Sunrise, FL · On-site

Experience - 6 to 8 Years We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by Large Language Models (LLMs). * In this role, you will work on end ...

Deloitte

Oracle Generative AI Manager

Boca Raton, FL · On-site

Identify high-value AI use cases and guide teams on prompt engineering and model optimization ... Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design ...

Tata Consultancy Service Limited

AI Engineer

Sunrise, FL · On-site

$100K - $130K/yr

Role - AI Engineer Experience Required - 8+ Years Must Have Technical/Functional Skills AI, Machine ... Generative & Agentic AI: LangChain, LangGraph, LlamaIndex, FAISS / Pinecone,OpenAI / Anthropic ...

Apex Systems

AI engineer

Fort Lauderdale, FL · Remote

$109.10K - $131K/yr

... generative AI. * Build and maintain data pipelines and feature engineering workflows that feed ... production models. * Write clean, tested, production-quality code and participate in peer code ...

JDA

Sr Gen AI Engineer

Delray Beach, FL

$87.52K - $140.77K/yr

Stay current with the rapidly evolving generative AI landscape Our Current Technical Environment ... Proficiency in programming languages used in AI and machine learning, such as Python, TensorFlow ...

Prophecy Technologies

AI ML Engineer

Sunrise, FL · On-site

Job Summary The Senior AI/ML Engineer is responsible for designing, building, and deploying scalable, secure, and production-grade AI/ML and Generative AI solutions. The role focuses on LLM-based ...

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Apprentice Generative Ai Engineer information

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$13

$17

$23

How much do apprentice generative ai engineer jobs pay per hour?

As of May 31, 2026, the average hourly pay for apprentice generative ai engineer in Boca Raton, FL is $17.45, according to ZipRecruiter salary data. Most workers in this role earn between $13.89 and $20.77 per hour, depending on experience, location, and employer.

What is the difference between Apprentice Generative Ai Engineer vs Junior Data Scientist?

AspectApprentice Generative Ai EngineerJunior Data Scientist
Required CredentialsBasic understanding of AI, programming, and machine learning fundamentalsBachelor's degree in Data Science, Computer Science, or related field
Work EnvironmentHands-on training in AI development teams, often in tech companies or startupsData analysis, modeling, and reporting in various industries
Employer & Industry UsageTech companies focusing on AI products, research labs, startupsFinance, healthcare, marketing, and other data-driven sectors

The Apprentice Generative Ai Engineer role is focused on gaining practical experience in AI development, often with mentorship, while a Junior Data Scientist typically handles data analysis and modeling tasks. Both roles require foundational knowledge, but the Apprentice role emphasizes learning and skill development in generative AI technologies.

What are the most commonly searched types of Generative Ai Engineer jobs in Boca Raton, FL? The most popular types of Generative Ai Engineer jobs in Boca Raton, FL are:
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Apprentice Generative Ai Engineer jobs near you
AI engineer

AI engineer

Indotronix International Corporation

Fort Lauderdale, FL • On-site

$109.50K - $131.40K/yr

Full-time

Posted 6 days ago

Job description

AI engineer | Fort Lauderdale, Florida, United States AI Engineer (Remote, Contract-to-Perm)
Location: Fort Lauderdale, FL (Remote)
Employment Type: C2C, Contract to Perm
About the Role
Join a forward-thinking team as an AI Engineer, where you'll deliver impactful machine learning solutions across diverse use cases. You'll take full ownership of projects, from data exploration to model deployment, working closely with a Senior ML/AI Engineer and reporting directly to the Director, ACE. Operate within an established MLOps framework while enjoying autonomy and opportunities to drive innovation. This is a fully remote position, offering flexibility and the potential for long-term growth.
Responsibilities
  • Develop, train, evaluate, and deploy ML/AI models for classification, regression, anomaly detection, NLP, and generative AI applications
  • Build and maintain robust data pipelines and feature engineering workflows for production models
  • Write clean, well-tested code and participate in peer code reviews to maintain high-quality standards
  • Monitor and retrain deployed models to address data drift or performance degradation
  • Create anomaly detection and predictive maintenance models using network telemetry and time-series data
  • Design and deploy NLP and speech models for call summarization, sentiment analysis, and agent assist tools
  • Build models for churn prediction, customer segmentation, next-best-action, demand forecasting, and operational optimization
  • Collaborate with internal teams to translate business problems into effective AI solutions
  • Contribute to MLOps practices, including model versioning, experiment tracking, and automated deployment

Required Skills and Experience
  • At least 2+ years in machine learning, AI engineering, or applied data science
  • Proven track record deploying ML models in production environments
  • Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn, Hugging Face)
  • Experience with data pipeline tools/frameworks (Spark, Airflow, dbt, SQL)
  • Familiarity with cloud platforms (AWS, Azure) and containerized deployment (Docker, Kubernetes)
  • Solid understanding of classical ML techniques and modern generative AI/LLM approaches
  • Clear communication skills with the ability to explain technical concepts to non-technical stakeholders
  • Strong problem-solving skills and independent project ownership

Preferred Skills
  • Experience in telecommunications, ISP, fiber/broadband, or network-intensive industries
  • Familiarity with time-series data, network telemetry, or streaming data platforms
  • Hands-on experience with NLP, speech processing, or conversational AI
  • Proficiency with MLOps tools (MLflow, Kubeflow, Weights & Biases)
  • Bachelor's or master's degree in Computer Science, Machine Learning, Data Science, or a related field

Benefits
  • 100% remote role with flexible work arrangements
  • Opportunity for contract-to-permanent conversion and career advancement
  • Work with cutting-edge AI and MLOps technologies
  • Collaborate with a highly skilled, innovative team
  • Direct impact on business-critical projects with visible outcomes

How to Apply
Ready to take your AI engineering career to the next level? Submit your resume today for immediate consideration. Candidates must be authorized to work in the US without sponsorship.
Indotronix Avani Group logo

About Indotronix Avani Group

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

Year founded

1986

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