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Generative Ai Data Analyst Jobs in Georgia (NOW HIRING)

Agap Technologies

Generative AI Training

Atlanta, GA · On-site

Our multidisciplinary team of experts in areas like data analysis, automation, personnel ... We are offering online training on Generative AI training. . Provide OPT Stem Ext.: Guidance and ...

Agap Technologies

Generative AI Training

Atlanta, GA · On-site

Our multidisciplinary team of experts in areas like data analysis, automation, personnel ... on Generative AI training. . Provide OPT Stem Ext.: Guidance and support for applying for the 24 ...

United Airlines

Data Scientist

Atlanta, GA · On-site

Experience leveraging AI and predictive analytics to improve customer experience, communication ... Experience with Generative AI, Large Language Models (LLMs), and modern AI frameworks. * Experience ...

Dolby

Senior Generative AI Researcher

Atlanta, GA · On-site

... data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT. Dolby is looking for a talented Senior Multimodal AI Researcher, Audio to join Dolby ...

CYNET SYSTEMS

Data Engineer

Alpharetta, GA

$55/hr

... Technical Analyst to support enterprise scale Generative AI and LLM based solutions including ... The ideal candidate must have data science and machine learning foundations with strong Python and ...

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Generative Ai Data Analyst information

What is the salary of Generative Ai Data Analyst?

The average salary for a Generative AI Data Analyst ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with skills in machine learning, data analysis, and proficiency in tools like Python or TensorFlow tend to earn higher salaries.

What is a generative ai data analyst?

A generative AI data analyst is a professional who analyzes data related to generative artificial intelligence models, such as those used for creating text, images, or other content. They interpret model outputs, evaluate performance, and work with tools like Python, machine learning frameworks, and data visualization software to improve AI systems and inform decision-making.

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

AspectGenerative Ai Data AnalystData Scientist
Required CredentialsBachelor's in Data Science, AI, or related fields; certifications in AI toolsBachelor's or Master's in Data Science, Statistics, or Computer Science; advanced certifications
Work EnvironmentTech companies, AI startups, data-driven departmentsResearch labs, tech firms, finance, healthcare
Employer & Industry UsageFocus on generating AI-driven insights, content, or modelsDeveloping models, analyzing data, building predictive algorithms

While both roles involve data analysis and AI, Generative Ai Data Analysts specialize in working with generative AI tools to produce content or insights, whereas Data Scientists develop and refine predictive models and algorithms. The roles often overlap but differ in focus and application.

What are popular job titles related to Generative Ai Data Analyst jobs in Georgia? For Generative Ai Data Analyst jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Generative Ai Data Analyst jobs in Georgia look for? The top searched job categories for Generative Ai Data Analyst jobs in Georgia are:
What cities in Georgia are hiring for Generative Ai Data Analyst jobs? Cities in Georgia with the most Generative Ai Data Analyst job openings:
Generative Ai Data Analyst jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Savannah, GA • On-site

Other

Re-posted 20 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply