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Senior Artificial Intelligence Testing Jobs in Michigan

Deloitte

Finance Strategy Senior Consultant

Detroit, MI · On-site

$115K/yr

Experience assessing finance technology, artificial intelligence, or regulatory trends * Experience ... Senior Consultant, Strategy, Growth, and Transformation Join Deloitte's Finance Transformation team ...

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

... data and artificial intelligence to realize the enterprise's known goals, reveal hidden ... Testing, validating and monitoring AI models in production scale to ensure reliability. * Research ...

Megan soft Inc

Senior AI/ML Engineer

Dearborn Heights, MI · On-site

$96K - $132K/yr

Role: Senior AI/ML Engineer (W2 Position) Location: Dearborn, MI (Hybrid) Duration: 12+ Months ... Artificial Intelligence & Expert Systems, Machine Learning, Data Science, Data Modeling, Software ...

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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.

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

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

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

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

Senior Artificial Intelligence Testing jobs near you

Senior Artificial Intelligence Associate//Dearborn, MI//W2 only

Saanvi Technologies

Dearborn, MI • On-site

Contractor

Re-posted 23 days ago

Job description

Senior Artificial Intelligence Associate

Dearborn, MI 4days onsite

W2

Position Description:

Employees in this job function are responsible for developing intelligent programs, cognitive applications and algorithms for data analysis and automation, leveraging various AI techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming Key Responsibilities: 1) Understand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and enable self-service capabilities 2) Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence 3) Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming 4) Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation

Skills Required:

Google Cloud Platform, Python

Skills Preferred:

This role focuses on hands-on development of AI-powered systems that: • Integrate Google LLMs with BigQuery data • Build tool-using AI agents for root cause analysis • Persist investigation intelligence across sessions • Deliver explainable insights to quality engineers What You Will Buil d • AI agents that generate and execute BigQuery SQL autonomously • Investigation memory models (structured + optional semantic) • Multi-step reasoning workflows • APIs that power UX for quality engineers • Logging, traceability, and governance mechanisms

Experience Required:

Senior Associate Exp: 3 to 5 years experience in relevant field

Experience Preferred:

•Experience with Infrastructure-as-Code (Terraform) and DevOps practices. •Familiarity with CI/CD tools like Tekton or Jenkins. •Experience with Cloud Run, Big Query and GitHub CoPilot. •Understanding of Agile methodologies. •Experience with backend frameworks such as Flask, Django, FastAPI. •Experience with Test-First/Test Driven Development (TDD), MVP, Evolutionary design. •Basic understanding of Machine Learning.

Education Required:

Bachelor's Degree

Education Preferred:

Additional Safety Training/Licensing/Personal Protection Requirements:

Additional Information :

4 days on site

Saanvi Technologies logo

About Saanvi Technologies

Sourced by ZipRecruiter

Saanvi Technologies is a staffing company that specializes in providing IT professionals to businesses. Our employees are experts in their field, and have the skills and experience necessary to help businesses grow and succeed. Saanvi Technologies is dedicated to helping businesses achieve their goals, and they have a proven track record of success. Our employees are qualified and reliable, and they always go above and beyond to meet the needs of their customers.

Company size

51 - 200 Employees

Headquarters location

Farmington, MI, US

Social media

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