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Apprentice Machine Learning Testing Jobs in Florida

AI Cybersecurity Engineer

Naples, FL · On-site

$140 - $260/hr

Design machine learning models for anomaly detection and behavioral analysis * Implement automated ... Develop adversarial AI defense mechanisms and model robustness testing * Collaborate with SOC teams ...

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Machinist

Hialeah, FL · On-site

$20 - $25/hr

Entry-Level Machinist / Machinist Apprentice Location: Florida Job Type: Part-Time with transition ... Develop testing aides according to drawings, specifications, and work instructions. * Read and ...

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Training provided

... machine learning, and AI solutions that drive measurable business outcomes. * Design and execute experiments, hypothesis testing frameworks, and statistical analyses to evaluate business strategies ...

... machine learning, and AI solutions that drive measurable business outcomes. * Design and execute experiments, hypothesis testing frameworks, and statistical analyses to evaluate business strategies ...

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

... and testing. Support the Chief Data Scientist/Data Scientists/Big Data Engineers in creating new and novel approaches to solve challenging problems using Machine Learning, Big Data and Cloud ...

AI Scientist

West Palm Beach, FL · On-site

$100 - $140/hr

... testing frameworks * Advanced practitioner-level knowledge of statistical inference, machine learning, software solvers, and/or mathematical optimization * Strong communication skills; ability to ...

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

... testing. • Support the Chief Data Scientist/Data Scientists/Big Data Engineers in creating new and novel • approaches to solve challenging problems using Machine Learning, Big Data and Cloud • ...

Health insurance * Vision insurance As an Audio Video Technician Apprentice, you will assist ... testing and troubleshooting of audio and video systems to ensure optimal performance. * Learning to ...

... machine learning techniques, including supervised/unsupervised learning, feature engineering, and model evaluation * Solid foundation in statistics, including experiment design, hypothesis testing ...

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Apprentice Machine Learning Testing information

What does an apprentice machine learning testing do?

An Apprentice Machine Learning Testing professional assists in evaluating and validating machine learning models to ensure they perform as expected. They typically work under the guidance of experienced data scientists or engineers, running tests, analyzing results, and helping to identify issues such as bias or inaccuracies in algorithms. Their responsibilities may also include developing test cases, writing reports, and learning about data preprocessing and evaluation metrics. This role is ideal for those who are new to the field and want to build foundational skills in machine learning quality assurance.

What kinds of projects or tasks can I expect to work on as an apprentice machine learning testing?

As an Apprentice Machine Learning Testing, you’ll typically assist in evaluating machine learning models by designing and running tests, analyzing model outputs, and helping identify issues like bias or overfitting. You may work closely with data scientists and software engineers to validate model performance and ensure results align with project objectives. Your daily tasks might include preparing test datasets, executing automated testing scripts, and documenting findings to help improve model reliability. This role often serves as a valuable introduction to practical machine learning workflows and quality assurance processes in technical teams.

What are the key skills and qualifications needed to thrive as an apprentice machine learning testing, and why are they important?

To thrive as an Apprentice in Machine Learning Testing, a foundational understanding of statistics, programming (especially Python), and basic machine learning concepts is essential, often supported by a degree or coursework in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help apprentices collaborate and identify testing issues efficiently. These skills ensure accurate model validation, effective troubleshooting, and contribute to the robust deployment of machine learning solutions.

What is the difference between Apprentice Machine Learning Testing vs Machine Learning Engineer?

AspectApprentice Machine Learning TestingMachine Learning Engineer
Required CredentialsBasic understanding of ML concepts, often pursuing relevant certifications or degreesAdvanced degrees (BSc, MSc, PhD) in CS or related fields, with extensive experience
Work EnvironmentEntry-level, supervised testing environments, often in training programsFull-time, independent development and deployment of ML models in production
Employer & Industry UsageInternships, training programs, entry-level roles in tech companiesEstablished tech firms, startups, research institutions

Apprentice Machine Learning Testing roles focus on learning and assisting with testing ML models under supervision, while Machine Learning Engineers design, build, and deploy ML systems independently. The apprentice position is ideal for gaining foundational skills, whereas the engineer role requires advanced expertise and experience.

What are popular job titles related to Apprentice Machine Learning Testing jobs in Florida?

For Apprentice Machine Learning Testing jobs in Florida, the most frequently searched job titles are:

What cities in Florida are hiring for Apprentice Machine Learning Testing jobs?

Cities in Florida with the most Apprentice Machine Learning Testing job openings:

AI Cybersecurity Engineer

Doist

Naples, FL • On-site

$140 - $260/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Protect organizations from evolving cyber threats by leveraging artificial intelligence and machine learning for advanced threat detection, automated response, and security analytics at scale.

Key Responsibilities
  • Develop AI-powered threat detection and response systems
  • Design machine learning models for anomaly detection and behavioral analysis
  • Implement automated incident response workflows using AI technologies
  • Conduct security assessments of AI/ML systems and models
  • Develop adversarial AI defense mechanisms and model robustness testing
  • Collaborate with SOC teams to integrate AI tools into security operations
  • Research emerging AI security threats and develop countermeasures
  • Design security frameworks for AI model deployment and data protection
Requirements
  • Bachelor's or Master's degree in Cybersecurity, Computer Science, or related field
  • 4+ years cybersecurity experience with 2+ years applying AI/ML to security use cases
  • Strong understanding of machine learning algorithms and their security implications
  • Experience with SIEM platforms, threat intelligence, and security analytics
  • Knowledge of adversarial machine learning and AI model attacks
  • Proficiency in Python, R, or similar languages for security data analysis
  • Security certifications (CISSP, CISM, GCFA, etc.) preferred
  • Understanding of cloud security and zero-trust architecture principles
Benefits
  • Compensation Range: $140,000 - $260,000+ plus security clearance premiums
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