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Senior Artificial Intelligence Testing Jobs in Colorado

Micron

Sr Engineer, FW & Product Test

Longmont, CO

$111K - $189K/yr

Summary of the Role The Sr. Engineer (E3) on the Firmware & Product Testing (FPT) team supports the ... artificial intelligence, helping drive innovative and scalable testing solutions. Department ...

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Senior Artificial Intelligence Testing information

What is a senior artificial intelligence testing professional?

Senior Artificial Intelligence Testing professionals are experienced specialists responsible for designing, executing, and overseeing tests to ensure the quality, reliability, and ethical standards of AI systems. They develop test plans, create testing frameworks, and analyze AI model behaviors to identify errors, biases, or security vulnerabilities. They often collaborate with data scientists, engineers, and product managers to refine AI algorithms and ensure they perform as intended in real-world scenarios. Their role is critical in maintaining trust and safety in AI-driven products and services.

What skills and qualifications are needed to thrive as a senior artificial intelligence testing professional?

To thrive as a Senior Artificial Intelligence Testing professional, you need expertise in software testing methodologies, machine learning concepts, and proficiency in programming languages like Python, along with a degree in computer science or a related field. Familiarity with AI testing frameworks, automated testing tools (such as TensorFlow, PyTorch, Selenium), and relevant certifications (like ISTQB) is often required. Strong analytical thinking, attention to detail, and effective communication skills distinguish top performers in this role. These competencies are critical to ensuring the quality, reliability, and ethical integrity of AI systems in complex, real-world applications.

What are common challenges faced by senior artificial intelligence testing professionals, and how can they be addressed?

Senior Artificial Intelligence Testing professionals often encounter challenges such as ensuring the reliability of complex AI models, dealing with insufficient or biased data, and validating unpredictable outputs. Addressing these issues typically involves developing comprehensive test plans, employing advanced testing frameworks, and collaborating closely with data scientists and engineers. Regular communication with cross-functional teams and staying updated on the latest AI testing methodologies are also essential for overcoming these challenges and ensuring robust, ethical AI systems.

What is the difference between Senior Artificial Intelligence Testing vs Machine Learning Engineer?

AspectSenior Artificial Intelligence TestingMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, experience in AI testing toolsBachelor's or Master's in CS, strong programming skills, knowledge of ML frameworks
Work EnvironmentAI development teams, quality assurance, testing labsData science teams, software development environments, cloud platforms
Employer & Industry UsageTech companies, AI-focused firms, research institutionsTech companies, startups, research labs, AI product companies
Common Search & Comparison IntentUnderstanding testing roles in AI projectsDeveloping and deploying machine learning models

While Senior Artificial Intelligence Testing focuses on evaluating and validating AI systems for accuracy and reliability, Machine Learning Engineers design, build, and optimize machine learning models. Both roles require a strong background in computer science and AI, but their core responsibilities differ: testing emphasizes quality assurance, whereas engineering emphasizes model development and deployment.

How do I become a senior artificial intelligence testing?

To become a senior artificial intelligence testing professional, candidates typically need a strong background in computer science, machine learning, or related fields, along with experience in AI development and testing. Proficiency in programming languages like Python, knowledge of AI frameworks, and familiarity with testing tools are essential, often complemented by advanced degrees or certifications in AI or software testing. Progression usually involves gaining experience in AI projects, demonstrating leadership skills, and staying updated with emerging AI technologies and testing methodologies.

Is senior artificial intelligence testing a good career?

Senior artificial intelligence testing is a specialized role that involves evaluating AI systems for accuracy, reliability, and safety, often requiring skills in programming, data analysis, and understanding of machine learning models. It is a growing field with increasing demand as AI technologies expand across industries, offering opportunities for career advancement and specialization. The role typically requires experience, technical certifications, and knowledge of testing tools and frameworks.

What are the most commonly searched types of Artificial Intelligence Testing jobs in Colorado?

The most popular types of Artificial Intelligence Testing jobs in Colorado are:

What are popular job titles related to Senior Artificial Intelligence Testing jobs in Colorado?

For Senior Artificial Intelligence Testing jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Senior Artificial Intelligence Testing jobs in Colorado look for?

The top searched job categories for Senior Artificial Intelligence Testing jobs in Colorado are:

What cities in Colorado are hiring for Senior Artificial Intelligence Testing jobs?

Cities in Colorado with the most Senior Artificial Intelligence Testing job openings:

Senior Artificial Intelligence Testing jobs near you

Senior Target Digital Network Analyst

ENSCO, Inc.

Colorado Springs, CO

Full-time

Re-posted 12 days ago

Job description

ENSCO is seeking a Senior Target Digital Network Analyst (TDNA) to support the U.S. Army Space and Missile Defense Command (USASMDC) Intelligence Directorate.
The successful candidate will provide advanced Target Digital Network Analysis in support of the USASMDC Signals Intelligence Branch and the U.S. Army Space Theater Technical Control and Analysis Element (Sp-TCAE). The analyst will identify, analyze, and characterize digital network activity to support target development, Signals Intelligence (SIGINT), technical SIGINT (TECHSIGINT), processing, exploitation, dissemination (PED), and operational intelligence.

The Senior TDNA will collaborate with Signals Analysts, GEOINT Analysts, All Source Analysts, Target Analyst Reporters, and Data Scientists to produce integrated intelligence products supporting Army, Joint, and Combatant Command operations..

  • C
    • onduct advanced Target Digital Network Analysis.
  • A
    • nalyze digital communications networks and associated infrastructure.
  • I
    • dentify network relationships supporting target development.
  • S
    • upport Signals Intelligence (SIGINT) and TECHSIGINT operations.
  • C
    • onduct Processing, Exploitation, and Dissemination (PED).
  • D
    • evelop intelligence supporting operational targeting.
  • C
    • orrelate digital network intelligence with GEOINT and All Source Intelligence.
  • P
    • roduce technical intelligence reports and briefings.
  • S
    • upport intelligence production for USASMDC and Combatant Commands.
  • P
    • articipate in operational planning and targeting working groups.
  • S
    • upport real world crisis and contingency operations.
  • M
    • entor junior TDNA personnel.

    Qualifications Required

    '- Bachelor's degree in Intelligence, Computer Science, Cybersecurity, Information Systems, Engineering, or related field, or equivalent experience plus 7 years experience supporting Target Digital Network Analysis or related intelligence disciplines.

  • E
    • xperience supporting SIGINT and PED operations.
  • E
    • xperience conducting digital network analysis for intelligence production.
  • E
    • xperience supporting military targeting operations.
  • S
    • trong analytical and technical problem-solving skills.
  • E
    • xcellent written and verbal communication skills.
  • A
    • ctive TS/SCI clearance for which you must be a US citizen

    Qualifications Desired

  • A
    • rmy Military Intelligence experience.
  • E
    • xperience supporting USASMDC, INSCOM, NSA, or USSPACECOM.
  • T
    • ECHSIGINT experience.
  • E
    • xperience with network characterization and digital target development.
  • E
    • xperience supporting cyber-enabled intelligence operations.
  • J
    • oint operational intelligence experience.
  • E
    • xperience integrating TDNA with SIGINT, GEOINT, and All Source Intelligence.
  • U
    • nderstanding of Artificial Intelligence and data analytics supporting intelligence production.
  • N
    • etwork+
  • S
    • ecurity+
  • C
    • ertified Ethical Hacker (CEH)

    Required Certifications: None
    US Citizenship Required: Yes
    Security Clearance Required: TS/SCI
    Employment Type: Regular Full-time
    Background Check Type: 7 Year Pre-Employment
    Drug Screen Required: None
    Position Contingent Upon Customer Award and Customer Approval: Yes

    Apply