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Remote Ai Programmer Jobs in Georgia (NOW HIRING)

We are looking for a Senior Full-Stack AI Engineer to join our team. In this role, you will take ... In-office, hybrid, or remote flexibility * Medical healthcare * Recognition program * Ongoing ...

New

We are looking for a Senior Full-Stack AI Engineer to join our team. In this role, you will take ... In-office, hybrid, or remote flexibility * Medical healthcare * Recognition program * Ongoing ...

New

We are looking for a Senior Full-Stack AI Engineer to join our team. In this role, you will take ... In-office, hybrid, or remote flexibility * Medical healthcare * Recognition program * Ongoing ...

New

Lead Machine Learning Engineer - REMOTE

Atlanta, GA · On-site +1

$98K - $129K/yr

Lead ML Engineer - REMOTE We are Lennar Lennar is one of the nation's leading homebuilders ... This is a key role on the Applied AI & Data Science team, sitting at the intersection of software ...

Lead Machine Learning Engineer - REMOTE

Atlanta, GA · Remote

$98K - $129K/yr

Lead ML Engineer - REMOTE We are Lennar Lennar is one of the nation's leading homebuilders ... This is a key role on the Applied AI & Data Science team, sitting at the intersection of software ...

The AI Principal Engineer (IC Director) is responsible for leading the design, development, and ... This role is fully remote, with no regular in-office requirement. The Contributions You'll Make:

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... We're looking for a hands-on AI Engineer to ship on that platform: building agent harnesses ...

Showing results 21-40

Remote Ai Programmer information

What is the difference between Remote Ai Programmer vs Remote Data Scientist?

AspectRemote Ai ProgrammerRemote Data Scientist
Required CredentialsBachelor's in CS, AI, or related; programming skills in Python, TensorFlowBachelor's or higher in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentRemote, tech companies, AI development teamsRemote, research firms, analytics teams
Employer & Industry UsageTech firms, AI startups, software companiesResearch institutions, finance, healthcare, tech
Common Search & ComparisonYesYes

Remote Ai Programmers focus on developing AI models and algorithms, often requiring programming and AI-specific skills. Remote Data Scientists analyze data to extract insights, utilizing statistical and analytical expertise. While both roles work remotely and in tech environments, their core responsibilities differ: AI Programmers build models, Data Scientists interpret data. Candidates should choose based on their skills and career goals.

What are the most commonly searched types of Ai Programmer jobs in Georgia? The most popular types of Ai Programmer jobs in Georgia are:
What cities in Georgia are hiring for Remote Ai Programmer jobs? Cities in Georgia with the most Remote Ai Programmer job openings:

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Valdosta, GA • Remote

Full-time

Re-posted 16 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.