... code, testing techniques, and support activities to enrich the knowledge base and assist other ... and generative AI. • Experience in Optimizing and adapting prompt engineering strategies to ...
... code, testing techniques, and support activities to enrich the knowledge base and assist other ... and generative AI. • Experience in Optimizing and adapting prompt engineering strategies to ...
This role will focus on defining solution frameworks, driving AI/ML and Generative AI adoption, and ... Experimentation strategies * A/B testing frameworks * Model performance metrics * Ensure ...
This role will focus on defining solution frameworks, driving AI/ML and Generative AI adoption, and ... Experimentation strategies * A/B testing frameworks * Model performance metrics * Ensure ...
The platform combines Generative AI, enterprise integrations, backend services, and workflow ... Write clean, maintainable, and testable code with proper documentation and testing practices.
The platform combines Generative AI, enterprise integrations, backend services, and workflow ... Write clean, maintainable, and testable code with proper documentation and testing practices.
AI Solution Architect
Tempe, AZ · On-site
$60.25 - $79.50/hr
AI Solution Architect - Agentic & Generative AI Locations: Austin, Tx | Tempe, Az | Charlotte, NC ... Testing & evaluation * Deployment * Monitoring & observability * Risk controls & governance
AI Solution Architect
Tempe, AZ · On-site
$60.25 - $79.50/hr
AI Solution Architect - Agentic & Generative AI Locations: Austin, Tx | Tempe, Az | Charlotte, NC ... Testing & evaluation * Deployment * Monitoring & observability * Risk controls & governance
The platform combines Generative AI, enterprise integrations, backend services, and workflow ... Contribute to CI/CD pipelines, automated testing, and engineering best practices. * Implement ...
The platform combines Generative AI, enterprise integrations, backend services, and workflow ... Contribute to CI/CD pipelines, automated testing, and engineering best practices. * Implement ...
The platform combines Generative AI, enterprise integrations, backend services, and workflow ... Contribute to CI/CD pipelines, automated testing, and engineering best practices. * Implement ...
The platform combines Generative AI, enterprise integrations, backend services, and workflow ... Contribute to CI/CD pipelines, automated testing, and engineering best practices. * Implement ...
The platform combines Generative AI, enterprise integrations, backend services, and workflow ... Contribute to CI/CD pipelines, automated testing, and engineering best practices. * Implement ...
The platform combines Generative AI, enterprise integrations, backend services, and workflow ... Contribute to CI/CD pipelines, automated testing, and engineering best practices. * Implement ...
The platform combines Generative AI, enterprise integrations, backend services, and workflow ... Contribute to CI/CD pipelines, automated testing, and engineering best practices. * Implement ...
The platform combines Generative AI, enterprise integrations, backend services, and workflow ... Contribute to CI/CD pipelines, automated testing, and engineering best practices. * Implement ...
Sr Gen AI Engineer
Scottsdale, AZ · On-site
$87K - $140K/yr
Stay current with the rapidly evolving generative AI landscape Our Current Technical Environment ... Knowledge of modern software development practices including CI/CD, testing, and version control
Sr Gen AI Engineer
Scottsdale, AZ · On-site
$87K - $140K/yr
Stay current with the rapidly evolving generative AI landscape Our Current Technical Environment ... Knowledge of modern software development practices including CI/CD, testing, and version control
AI-assisted development and testing workflows Key Responsibilities Full-Stack Product Development ... Generative AI & Developer Productivity * Use Generative AI tools for: * Code generation ...
AI-assisted development and testing workflows Key Responsibilities Full-Stack Product Development ... Generative AI & Developer Productivity * Use Generative AI tools for: * Code generation ...
Sr. Java Developer
Phoenix, AZ · On-site
$56.75 - $72.50/hr
You will leverage Generative AI tools like GitHub Copilot to enhance your coding efficiency and ... Testing: Write comprehensive unit and integration tests, utilizing AI tools to streamline testing ...
Sr. Java Developer
Phoenix, AZ · On-site
$56.75 - $72.50/hr
You will leverage Generative AI tools like GitHub Copilot to enhance your coding efficiency and ... Testing: Write comprehensive unit and integration tests, utilizing AI tools to streamline testing ...
AI ML Engineer with LLM & AWS Integration
Tempe, AZ · On-site
$101K - $136K/yr
... LLMs and generative AI, while also integrating and deploying models using AWS services ... code, testing techniques, and support activities to enrich the knowledge base and assist other ...
AI ML Engineer with LLM & AWS Integration
Tempe, AZ · On-site
$101K - $136K/yr
... LLMs and generative AI, while also integrating and deploying models using AWS services ... code, testing techniques, and support activities to enrich the knowledge base and assist other ...
AI Developer (Features + CHQ)
Tempe, AZ · On-site
Work with Generative AI services, LLM APIs, semantic search, and workflow orchestration platforms ... Support debugging, monitoring, testing, and production issue resolution activities. Qualifications ...
AI Developer (Features + CHQ)
Tempe, AZ · On-site
Work with Generative AI services, LLM APIs, semantic search, and workflow orchestration platforms ... Support debugging, monitoring, testing, and production issue resolution activities. Qualifications ...
Principal AI Engineer
Gilbert, AZ · On-site +1
From testing to certification, Ascend Learning products are used by physicians, emergency medical ... Design and co-own the Generative AI/ML system and project architecture, frameworks, tools, and ...
Principal AI Engineer
Gilbert, AZ · On-site +1
From testing to certification, Ascend Learning products are used by physicians, emergency medical ... Design and co-own the Generative AI/ML system and project architecture, frameworks, tools, and ...
AI Architect_Tempe,AZ
Anthem, AZ · On-site
The platform combines generative AI, workflow orchestration, enterprise integrations, and ... Ensure platform quality through testing, observability, monitoring, and production readiness ...
AI Architect_Tempe,AZ
Anthem, AZ · On-site
The platform combines generative AI, workflow orchestration, enterprise integrations, and ... Ensure platform quality through testing, observability, monitoring, and production readiness ...
AI Architect_Tempe,AZ
Anthem, AZ · Remote
The platform combines generative AI, workflow orchestration, enterprise integrations, and ... Ensure platform quality through testing, observability, monitoring, and production readiness ...
AI Architect_Tempe,AZ
Anthem, AZ · Remote
The platform combines generative AI, workflow orchestration, enterprise integrations, and ... Ensure platform quality through testing, observability, monitoring, and production readiness ...
AI ML Engineer with LLM & AWS Integration
$101K - $136K/yr
... Generative AI Technical Skills 2 Technology|Cloud Platform|Amazon Webservices Managed Services ... A passion for design and hands-on coding experience A proactive approach to testing ...
AI ML Engineer with LLM & AWS Integration
$101K - $136K/yr
... Generative AI Technical Skills 2 Technology|Cloud Platform|Amazon Webservices Managed Services ... A passion for design and hands-on coding experience A proactive approach to testing ...
Participate in the full SDLC-design, development, testing, deployment, and support. * Apply best ... Stay updated with emerging technologies like Generative AI and integrate them into business ...
Participate in the full SDLC-design, development, testing, deployment, and support. * Apply best ... Stay updated with emerging technologies like Generative AI and integrate them into business ...
... generative AI techniques to support analysis, insights, and predictive risk modeling Support GRC processes, including control testing, issue management, and compliance monitoring Ensure alignment ...
... generative AI techniques to support analysis, insights, and predictive risk modeling Support GRC processes, including control testing, issue management, and compliance monitoring Ensure alignment ...
AI ML Engineer with LLM & AWS Integration
Tempe, AZ · On-site
$101K - $136K/yr
The role of Technology Consultant 2 involves contributing to software design, coding, testing, and ... LLMs and generative AI. • Experience with developing and deploying AI Agents for business ...
AI ML Engineer with LLM & AWS Integration
Tempe, AZ · On-site
$101K - $136K/yr
The role of Technology Consultant 2 involves contributing to software design, coding, testing, and ... LLMs and generative AI. • Experience with developing and deploying AI Agents for business ...
Generative Ai Testing information
What is the difference between Generative Ai Testing vs Data Scientist?
| Aspect | Generative Ai Testing | Data Scientist |
|---|---|---|
| Required Credentials | Knowledge of AI models, testing tools, programming skills | Statistics, programming, data analysis certifications |
| Work Environment | AI development teams, testing labs, tech companies | Research labs, tech firms, finance, healthcare |
| Employer & Industry Usage | AI product testing, quality assurance in tech | Data analysis, predictive modeling across industries |
Generative Ai Testing focuses on evaluating and validating AI-generated content and models, ensuring quality and accuracy. Data Scientists analyze data, build models, and derive insights. While both roles require programming and AI knowledge, Generative Ai Testing emphasizes testing processes, whereas Data Scientists focus on data analysis and model development.
What are the key skills and qualifications needed to thrive as a Generative AI Testing Specialist, and why are they important?
To thrive as a Generative AI Testing Specialist, you need a robust understanding of machine learning principles, model evaluation techniques, and a background in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and model evaluation frameworks, as well as experience with automated testing platforms, is typically required. Analytical thinking, attention to detail, and strong communication skills help you identify model weaknesses and collaborate effectively with development teams. These skills are crucial to ensure the reliability, safety, and ethical deployment of generative AI solutions.
What are some common challenges faced when testing generative AI models, and how can I prepare to address them in this role?
Testing generative AI models often involves unique challenges such as evaluating the quality and relevance of generated content, detecting bias or inappropriate outputs, and ensuring model consistency across various prompts. You may work closely with data scientists and engineers to create robust evaluation frameworks and develop automated as well as manual testing strategies. Familiarity with prompt engineering, statistical evaluation techniques, and domain-specific knowledge will help you address these challenges effectively. Proactively staying updated on industry best practices and collaborating with cross-functional teams are key to success in this dynamic field.
What is Generative AI Testing?
Generative AI Testing refers to the process of evaluating and validating AI systems, particularly those that generate content such as text, images, or code. This type of testing focuses on assessing the accuracy, reliability, fairness, and safety of generative models to ensure they function as intended and avoid producing harmful or biased outputs. Testers use various methods, including automated and manual techniques, to check for issues like hallucinations, inappropriate content, or security vulnerabilities. The goal is to build trust in generative AI systems and ensure they meet quality and ethical standards before deployment.
What are popular job titles related to Generative Ai Testing jobs in Arizona? For Generative Ai Testing jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Generative Ai Testing jobs in Arizona look for? The top searched job categories for Generative Ai Testing jobs in Arizona are:
Infosys rating
7.5
Based on 58 frontline employees who took The Breakroom Quiz
97th of 204 rated it services
Job description
Job Summary:
Infosys is a global leader in next-generation digital services and consulting. The AI/ML Engineer role focuses on leveraging advanced technologies such as generative AI to drive digital transformation for financial institutions, contributing to software solutions and maintaining system stability.
Responsibilities:
• Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
• Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
• Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
• Conduct code reviews, do changes to the codebase and maintain code repositories
• Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
• Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
• Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
• Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects
Qualifications:
Required:
• Experience in design, develop, and fine-tune machine learning models, particularly those involving LLMs and generative AI.
• Experience in Optimizing and adapting prompt engineering strategies to improve model performance and relevance.
• Experience in Integrate and deploy models using AWS services including Bedrock, S3, ECS, EC2, Lambda and other AI/ML related services.
• Experience in build and maintain scalable data pipelines and APIs to support ML workflows.
• Experience in monitoring model performance and iterate based on feedback and metrics.
• Experience with LLMs (e.g., OpenAI, Anthropic, Cohere) and prompt engineering.
• Experience with AWS services, especially Bedrock, S3, EC2, and Lambda Familiarity with MLOps practices and tools for model deployment and monitoring.
• Experience with AWS SageMaker for model development and model deployment.
• Experience in Understanding of quantitative/statistical/ML/AI modeling methodologies.
• Experience in ML engineering, including hands-on experience with Generative AI/LLMs.
• Experience with developing and deploying AI Agents for business problems.
• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.
Preferred:
• Experience in Python and ML libraries (e.g., TensorFlow, Py Torch, scikit-learn).
• Experience with Programming skills in data analytics related languages and libraries, such as Python, R, Pandas, or JavaScript.
Company:
Infosys is a technology company that offers consulting, outsourcing, cloud infrastructure, program management, and software services. Founded in 1981, the company is headquartered in Bangalore, IND, with a team of 10001+ employees. The company is currently Late Stage.
Infosys is a global leader in next-generation digital services and consulting. The AI/ML Engineer role focuses on leveraging advanced technologies such as generative AI to drive digital transformation for financial institutions, contributing to software solutions and maintaining system stability.
Responsibilities:
• Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
• Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
• Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
• Conduct code reviews, do changes to the codebase and maintain code repositories
• Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
• Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
• Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
• Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects
Qualifications:
Required:
• Experience in design, develop, and fine-tune machine learning models, particularly those involving LLMs and generative AI.
• Experience in Optimizing and adapting prompt engineering strategies to improve model performance and relevance.
• Experience in Integrate and deploy models using AWS services including Bedrock, S3, ECS, EC2, Lambda and other AI/ML related services.
• Experience in build and maintain scalable data pipelines and APIs to support ML workflows.
• Experience in monitoring model performance and iterate based on feedback and metrics.
• Experience with LLMs (e.g., OpenAI, Anthropic, Cohere) and prompt engineering.
• Experience with AWS services, especially Bedrock, S3, EC2, and Lambda Familiarity with MLOps practices and tools for model deployment and monitoring.
• Experience with AWS SageMaker for model development and model deployment.
• Experience in Understanding of quantitative/statistical/ML/AI modeling methodologies.
• Experience in ML engineering, including hands-on experience with Generative AI/LLMs.
• Experience with developing and deploying AI Agents for business problems.
• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.
Preferred:
• Experience in Python and ML libraries (e.g., TensorFlow, Py Torch, scikit-learn).
• Experience with Programming skills in data analytics related languages and libraries, such as Python, R, Pandas, or JavaScript.
Company:
Infosys is a technology company that offers consulting, outsourcing, cloud infrastructure, program management, and software services. Founded in 1981, the company is headquartered in Bangalore, IND, with a team of 10001+ employees. The company is currently Late Stage.
About Infosys
Sourced by ZipRecruiter
Industry
Business management consulting
Company size
10,000+ Employees
Headquarters location
Bengaluru, KA, IN