1

Apprentice Machine Learning Testing Jobs in Nevada

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Reno, NV · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Las Vegas, NV · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Henderson, NV · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Sr AI/ML Engineer

Sparks, NV

$106K - $146K/yr

Develop validation and testing frameworks ensuring compliance with safety and reliability standards ... Advanced skills in machine learning frameworks (TensorFlow, PyTorch) and modern AI/ML techniques ...

Coordinates and conducts support of onsite operations related to well testing, logging, cleanouts, or stimulations and provides geochemical support as needed * Provides technical reports and ...

Coordinates and conducts support of onsite operations related to well testing, logging, cleanouts, or stimulations and provides geochemical support as needed. * Provides technical reports and ...

Oversee model validation, explainability, bias testing, and audit readiness. * Collaborate with ... Machine Learning & Modeling * Supervised, unsupervised, reinforcement learning * Deep learning ...

Machine Operator I

Reno, NV · On-site

$17 - $20.25/hr

We encourage curiosity, continuous learning, and fresh ideas across every department, empowering ... assurance, assembly, testing, or experience working in an environment using hands tools and ...

Machine Operator I

Reno, NV · On-site

$17 - $20.25/hr

We encourage curiosity, continuous learning, and fresh ideas across every department, empowering ... assurance, assembly, testing, or experience working in an environment using hands tools and ...

Machine Operator I

Reno, NV · On-site

$17 - $20.25/hr

We encourage curiosity, continuous learning, and fresh ideas across every department, empowering ... assurance, assembly, testing, or experience working in an environment using hands tools and ...

Employees will occasionally be exposed to chemicals, moving machinery, uneven and slippery surfaces ... testing, inspections, and maintenance. We serve customers across many verticals on a local ...

New

Employees will occasionally be exposed to chemicals, moving machinery, uneven and slippery surfaces ... testing, inspections, and maintenance. We serve customers across many verticals on a local ...

New

next page

Showing results 1-20

Apprentice Machine Learning Testing information

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 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 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 Nevada? For Apprentice Machine Learning Testing jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in Nevada look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Nevada are:
What cities in Nevada are hiring for Apprentice Machine Learning Testing jobs? Cities in Nevada with the most Apprentice Machine Learning Testing job openings:
AI Penetration Tester (Red Team)

AI Penetration Tester (Red Team)

GTN Technical Staffing

Las Vegas, NV • On-site

Full-time

Posted 7 days ago

New


Job description

Job Summary:
GTN Technical Staffing is a leader in SOW management and technical staffing, seeking a highly skilled AI Penetration Tester and Red Team Operator. This role focuses on AI-enabled security testing, combining traditional offensive security testing with advanced adversary simulation and AI system security assessment.
Responsibilities:
• Conduct internal and external network penetration tests.
• Perform web application and API security assessments.
• Execute cloud security assessments across AWS, Azure, or GCP environments.
• Identify, exploit, and document vulnerabilities in a controlled and ethical manner.
• Validate remediation efforts through structured re-testing.
• Produce comprehensive technical reports and executive-level summaries.
• Collaborate with stakeholders to define the objectives and scope of testing.
• Plan and execute adversary emulation exercises aligned with real-world threat actors.
• Simulate full attack lifecycles including initial access, privilege escalation, lateral movement, persistence, and data exfiltration.
• Conduct social engineering and phishing campaigns where authorized.
• Evaluate detection and response capabilities in collaboration with defensive teams.
• Develop and refine offensive tooling and techniques to emulate evolving threats.
• Utilize AI and LLM-based tools to enhance reconnaissance, payload development, and automation.
• Develop workflows integrating AI into penetration testing processes and Red team operations.
• Evaluate the effectiveness and limitations of AI tools in offensive security operations.
• Continuously assess emerging AI technologies for potential security applications.
• Conduct security assessments of AI-powered applications and services.
• Test for vulnerabilities including prompt injection, jailbreak attempts, model abuse, and data leakage.
• Evaluate risks related to model extraction, model inversion, and training data poisoning.
• Assess Retrieval-Augmented Generation (RAG) implementations and AI plugin integrations.
• Contribute to AI threat modeling and secure deployment recommendations.
• Stay current with emerging threats, vulnerabilities, and offensive security methodologies.
• Contribute to the development of internal tools, scripts, and red team frameworks.
• Maintain knowledge of industry standards such as MITRE ATT&CK and OWASP (including AI-focused frameworks).
• Support continuous improvement of offensive security methodologies.
Qualifications:
Required:
• Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, or equivalent experience
• 3–7+ years of experience in penetration testing, red teaming, or offensive security
• Experience using AI tools to automate or enhance technical workflows
• Understanding of AI/LLM architectures and common attack vectors against AI systems
• Demonstrated experience conducting full-scope penetration tests and adversary simulations
• Strong understanding of networking, operating systems (Windows and Linux), Active Directory, and web technologies
• Experience with industry-standard tools such as Burp Suite, Metasploit, Nmap, BloodHound, and command-and-control frameworks
• Proficiency in Python and scripting (Bash or PowerShell)
Preferred:
• Offensive security certifications (e.g., OSCP, OSEP, CRTO, GPEN, GWAPT)
• Experience testing AI or machine learning systems in production environments
• Knowledge of secure software development practices
• Experience in cloud-native environments and containerized systems
• Prior experience contributing to open-source security tools or research publications
Company:
GTN Technical Staffing identifies, screens, and recruits information technology professionals. Founded in 2000, the company is headquartered in Dallas, USA, with a team of 201-500 employees. The company is currently Growth Stage.