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Vice President Generative Ai Machine Learning Jobs in Georgia

Five and Fly

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $165/hr

Machine Learning Engineer Employment Type: Full Time Location: Atlanta, GA Description We are ... Experiment with generative AI and multimodal models to extend capabilities beyond text (images ...

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 ... machine learning model validation, model risk management, or related roles. • Expertise in ...

Enlace Health

VP, Product

Atlanta, GA · On-site

... insights, generative analytics reporting, and agentic AI-powered workflows and processes. • ... AI/ML‑powered product features in healthcare, using machine learning, NLP, or automation to drive ...

Enlace Health

VP, Product

Atlanta, GA · On-site

... insights, generative analytics reporting, and agentic AI-powered workflows and processes. • ... AI/ML‑powered product features in healthcare, using machine learning, NLP, or automation to drive ...

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Vice President Generative Ai Machine Learning information

What is the difference between Vice President Generative Ai Machine Learning vs Data Science Director?

AspectVice President Generative Ai Machine LearningData Science Director
Required CredentialsAdvanced degrees in AI, ML, or related fields; extensive experience in AI/ML projectsMaster's or PhD in Data Science, Statistics, or related fields; strong analytical background
Work EnvironmentLeadership role overseeing AI/ML teams, strategic planning, and innovationManagement of data science teams, project execution, and data analysis
Employer & Industry UsageTech companies, AI startups, large enterprises implementing AI solutionsFinancial, healthcare, retail, and other industries utilizing data analytics

The Vice President Generative Ai Machine Learning focuses on leading AI/ML strategy and innovation at a high level, often overseeing generative AI projects. In contrast, the Data Science Director manages data analysis teams, ensuring project delivery and data insights. Both roles require advanced degrees and leadership skills but differ in scope and focus within the AI and data fields.

What are popular job titles related to Vice President Generative Ai Machine Learning jobs in Georgia? For Vice President Generative Ai Machine Learning jobs in Georgia, the most frequently searched job titles are:
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What cities in Georgia are hiring for Vice President Generative Ai Machine Learning jobs? Cities in Georgia with the most Vice President Generative Ai Machine Learning job openings:
Vice President Generative Ai Machine Learning jobs near you
Infographic showing various Vice President Generative Ai Machine Learning job openings in Georgia as of June 2026, with employment types broken down into 20% Internship, 52% Full Time, 8% Part Time, and 20% Contract. Highlights an 79% In-person, 8% Hybrid, and 13% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Savannah, GA • On-site

Other

Re-posted 19 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