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Genai Engineer Jobs in Decatur, GA (NOW HIRING)

AceStack LLC

AI/ML Engineer

Atlanta, GA

... GenAI pipelines using cloud-native tools, ensuring reliability, performance, and production ... engineering, Retrieval-Augmented Generation (RAG), model fine-tuning, and RLHF to improve model ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA

$100K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast ... CLI, SDK, Infra Automation, Platform Applications) for streamlining ML Model and GenAI/LLM ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast ... CLI, SDK, Infra Automation, Platform Applications) for streamlining ML Model and GenAI/LLM ...

WorkNovas LLC

AI/ML Quality Engineer

Atlanta, GA · On-site

$69K - $89K/yr

Alpharetta, GA (Onsite - 5 days a week) 8-10 years overall (minimum 5 years in AI/ML and GenAI) Required Skills * Strong proficiency in Python (FastAPI, Flask, async programming, RESTful APIs)

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast ... CLI, SDK, Infra Automation, Platform Applications) for streamlining ML Model and GenAI/LLM ...

Deloitte

Lead Forward Deployed Engineer - AWS

Atlanta, GA

$98K - $129K/yr

Mentor and develop junior FDEs GenAI Solution Development * Architect and oversee delivery of LLM ... Engineering & Data Foundations * Review and contribute to production-quality code * Guide ...

Deloitte

Lead Forward Deployed Engineer - AWS

Atlanta, GA · On-site

$98K - $129K/yr

Mentor and develop junior FDEs GenAI Solution Development * Architect and oversee delivery of LLM ... Engineering & Data Foundations * Review and contribute to production-quality code * Guide ...

Deloitte

Forward Deployed Engineer- AWS

Atlanta, GA

Embed with clients to identify business needs and translate high-value GenAI use cases into solutions. * Partner with leaders, product owners, architects, and engineers to align priorities and ...

Insight Global

Business Process Engineer

Atlanta, GA

... GenAI models and automation capabilities. Qualifications * 5+ years of handson experience in ... Bachelor's degree in Business, Engineering, Computer Science, Information Systems, or related field.

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Genai Engineer information

What are some typical challenges a GenAI Engineer faces when deploying AI models in production environments?

GenAI Engineers often encounter challenges such as ensuring model scalability, addressing bias in generated outputs, and maintaining performance consistency in real-world applications. Deploying generative AI models requires careful monitoring to prevent unexpected or inappropriate outputs, as well as efficient resource management to handle large-scale computations. Collaborating closely with data engineers, product managers, and ML operations teams is essential to streamline deployment pipelines and quickly resolve issues that arise in live environments.

What is a GenAI Engineer?

A GenAI Engineer is a professional who specializes in designing, developing, and deploying generative artificial intelligence (AI) models and applications. This role involves working with advanced machine learning techniques, such as large language models and generative adversarial networks, to create systems that can generate text, images, code, or other content. GenAI Engineers collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into products and services, ensuring ethical use and scalability. They also stay updated on the latest developments in AI research to continually improve model performance and effectiveness.

What is the difference between Genai Engineer vs Data Scientist?

AspectGenai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI/ML frameworksDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentDevelops AI models, fine-tunes generative AI systems, collaborates with AI teamsAnalyzes data, builds predictive models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, research labs focusing on generative AIFinance, healthcare, marketing, and tech firms analyzing data for insights

While both roles require strong technical skills and a background in data or AI, Genai Engineers focus on developing and deploying generative AI models, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but serve different primary functions within AI and data-driven organizations.

What are the key skills and qualifications needed to thrive as a GenAI Engineer, and why are they important?

To thrive as a GenAI Engineer, you need expertise in machine learning, deep learning, and programming languages such as Python, along with a solid understanding of generative models like GANs and transformers. Familiarity with frameworks such as TensorFlow or PyTorch, and experience with cloud platforms and MLOps tools, are highly valuable; advanced degrees or certifications in AI or data science are often preferred. Strong problem-solving, creativity, and communication skills help GenAI Engineers design innovative solutions and effectively collaborate with multidisciplinary teams. These skills ensure the development of robust, scalable generative AI systems that address complex real-world challenges.
What are popular job titles related to Genai Engineer jobs in Decatur, GA? For Genai Engineer jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Genai Engineer jobs in Decatur, GA look for? The top searched job categories for Genai Engineer jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Genai Engineer jobs? Cities near Decatur, GA with the most Genai Engineer job openings:
Genai Engineer jobs near you
AI/ML Engineer

AI/ML Engineer

AceStack LLC

Atlanta, GA

Other

Posted 11 days ago

Job description

Job Title : AI/ML Engineer
Location : Atlanta, GA (ONSITE)
Full Time ONLY
Job Description
Must Have Technical/Functional Skills
• Design, develop, train, and deploy machine learning, deep learning, and Generative AI models to solve complex business problems across payments and FinTech platforms.
• Build and maintain scalable ML and GenAI pipelines using cloud-native tools, ensuring reliability, performance, and production readiness.
• Implement GenAI solutions using platforms such as Google Cloud Vertex AI, AWS SageMaker/Bedrock, and Snowflake Cortex, aligned with enterprise standards.
• Apply advanced techniques including prompt engineering, Retrieval-Augmented Generation (RAG), model fine-tuning, and RLHF to improve model accuracy, robustness, and business relevance.
• Develop and deploy AI agents and agentic workflows using frameworks such as LangChain, LangGraph, AgentSpace to automate multi-step decision and reasoning processes.
• Integrate vector databases and semantic retrieval systems (e.g., PGVector) to support memory, search, and contextual grounding in GenAI applications.
• Collaborate closely with data scientists, product managers, and engineering teams to translate business requirements into end-to-end AI-powered solutions.
• Implement and enforce MLOps best practices, including CI/CD pipelines, model versioning, monitoring, retraining, and lifecycle management.
• Optimize models and pipelines for scalability, latency, cost efficiency, and reliability in high-throughput, production cloud environments.
• Ensure AI solutions adhere to security, privacy, and responsible AI principles, including governance, bias awareness, and safe model usage.
• Monitor model performance and data drift, performing continuous improvements based on feedback, metrics, and real-world usage patterns.
Roles & Responsibilities
• Stay current with AI research, emerging tools, and industry trends, evaluating new technologies for enterprise adoption.
• Produce clear technical documentation, reusable components, and reference implementations to support team knowledge sharing and reuse.
• Contribute as a hands-on engineer in cross-functional Agile teams, supporting rapid experimentation, iterative delivery, and operational excellence.
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About AceStack

Sourced by ZipRecruiter

AceStack is a global IT consulting & Staffing agency. We deal in Health care (Nursing, Allied, Clinical/Non-clinical) Staffing, Engineering Staffing & I.T. Staffing. Founded in 2017 in New Jersey, AceStack has reported consistent growth and profit every year and carries zero debt. AceStack consultants are placed across USA, Canada, Mexico, and Asia. In addition to our headquarters in New Jersey – USA, we also have offices in Canada, Noida, and Ahmedabad. AceStack’s exceptionally high-touch service keeps our clients satisfied and our Consultants/Travelers engaged. We believe in investing in our Consultants/Clients in a variety of ways. We employ AceStack ambassador who helps guide Consultants through the on-boarding process and ensure the transition into their new role with our Client is seamless. We also have dedicated Consultant care representatives located throughout our organization who provide the same level of attention throughout our Consultant’s tenure. Due to this level of attention and care, AceStack enjoys not only one of the highest retention rates in the staffing industry but also one of the highest redeployment rates in the industry.

Company size

51 - 200 Employees

Headquarters location

NJ, US

Year founded

2017

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