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Generative Ai Testing Jobs in Georgia (NOW HIRING)

TMS

Cloud Developer

Alpharetta, GA · On-site

$55 - $75.25/hr

As a Cloud Developer with a focus on Generative AI, you will design and build an innovative ... testing, deployments, provisioning, and observability • Ability to manage and respond to ...

Aquent

Performance Marketing Analyst

Atlanta, GA · On-site +1

$25 - $28/hr

AI Integration: Experiment with and implement generative AI tools to streamline data analysis, automate reporting tasks, and optimize ad copy testing. Qualifications & Skills Required: * Education:

AIG

AI Model Validation Lead, GenAI

Atlanta, GA · On-site

AIG is making long-term investments in a new Generative AI team to explore innovative applications ... testing of AI models, evaluating performance metrics, sensitivity analyses, and stress testing ...

AIG

AI Model Validation Lead, GenAI

Atlanta, GA · On-site

$210K - $280K/yr

With the support and investment needed to explore new frontiers in generative AI, you'll be working ... Conduct independent testing of AI models, evaluating performance metrics, sensitivity analyses, and ...

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Generative Ai Testing information

What is the difference between Generative Ai Testing vs Data Scientist?

AspectGenerative Ai TestingData Scientist
Required CredentialsKnowledge of AI models, testing tools, programming skillsStatistics, programming, data analysis certifications
Work EnvironmentAI development teams, testing labs, tech companiesResearch labs, tech firms, finance, healthcare
Employer & Industry UsageAI product testing, quality assurance in techData 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.

How much do AI testers get paid?

AI testers, involved in evaluating and validating generative AI models, typically earn salaries ranging from $60,000 to $120,000 annually depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in machine learning and data analysis can earn higher wages.

Is AI testing a good career?

AI testing, including roles like Generative AI Testing, is a growing field with increasing demand for skills in machine learning, data analysis, and software quality assurance. It offers opportunities in tech companies, research labs, and startups, often requiring knowledge of AI frameworks and testing tools. The career can be stable and rewarding for those with technical expertise and an interest in AI 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 is the salary of generative AI tester?

The salary of a generative AI tester typically ranges from $70,000 to $120,000 annually, depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in AI and machine learning can earn higher salaries. Certifications in AI or related fields can also influence compensation.

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.

How do I become an AI tester?

To become an AI tester, you should have a strong understanding of machine learning concepts, programming skills in languages like Python, and experience with data annotation and model evaluation. Familiarity with AI tools, testing frameworks, and quality assurance processes is also important. Gaining relevant certifications or training in AI and software testing can enhance your qualifications.

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.
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Generative Ai Testing jobs near you
Agentic AI Architect (GCP)

Agentic AI Architect (GCP)

Tata Consultancy Services

Atlanta, GA • On-site

Full-time

Re-posted 24 days ago

Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

159th of 210 rated it services

Job description

Job Summary:
Tata Consultancy Services is seeking an Agentic AI Architect with expertise in GCP. The role involves leading the design and development of an Agentic AI platform, architecting core systems for AI workflows, and driving technical strategy and infrastructure decisions.
Responsibilities:
• Lead the design and development of an Agentic AI platform. Deep expertise in machine learning, system architecture, and AI agent frameworks to build scalable, autonomous systems.
• Architect and implement core systems for agent-based AI workflows.
• Design and deploy LLM-based pipelines, agent orchestration, and vector-based memory systems.
• Develop and optimize ML models, pipelines, and orchestration logic.
• Drive technical strategy, tooling, and infrastructure decisions.
• Architect and implement agentic AI systems leveraging GCP services (Vertex AI, BigQuery, Cloud Functions, Pub/Sub, etc.).
Qualifications:
Required:
• Proficiency in Python is essential.
• Expertise in LangChain/LangGraph, CrewAI, Semantic Kernel/Autogen and Open AI Agentic SDK
• Experience with TensorFlow, PyTorch, Scikit-learn, and AutoML.
• Hands-on experience with generative AI models, RAG (Retrieval Augmented Generation) architecture, and Natural Language Processing (NLP).
• Familiarity with Google Cloud Platform (GCP).
• Proficiency in data preprocessing and feature engineering.
• Experience with GitHub for version control.
• Skills in building models, testing/validation, and deployment.
• Experience working in an Agile framework.
• Experience with data ingestion, data retrieval, and data generation using optimal methods such as hybrid search.
Company:
Tata Consultancy Services (TCS) is the technology partner of choice for industry leading organizations worldwide. Founded in 1992, the company is headquartered in Puteaux, FRA, with a team of 10001+ employees. The company is currently Late Stage.

What Tata Consultancy Services employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US

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