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Full Time Ai Computer Science Jobs in Georgia (NOW HIRING)

MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.) or equivalent work experience. * 1+ years of experience in modern AI/ML tools and ...

MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.) or equivalent work experience. * 1+ years of experience in modern AI/ML tools and ...

... to computer science and electrical engineering, such as AI/ML, algorithms, digital signal ... The Atlanta Area base salary range for this full-time position is $140,000-$170,000, which can vary ...

AI/ML Computational Science Manager

Atlanta, GA · On-site

$94K - $293K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science * Minimum ... Experience managing and leading Gen AI/Agentic delivery across enterprises * Deep industry ...

Atlanta, GA Hybrid Employment Type: Full-Time About Us: Datavault AI, along with its event ... Bachelor's degree in Computer Science, Statistics, Data Science, Machine Learning, or related ...

Senior AI Engineer

Alpharetta, GA · On-site

$119K - $157K/yr

Fulltime Key Responsibilities * Design, build, and deploy Python-based AI/LLM applications using ... Bachelor's/Master's in Computer Science or equivalent. * 8+ years of software engineering ...

D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline * 4+ years of work experience in AI Science / Machine Learning and related areas

D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline * 4+ years of work experience in AI Science / Machine Learning and related areas

Qualifications * 4+ years of industry experience with AI science * BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent * 4+ years of hands-on ...

Qualifications * 4+ years of industry experience with AI science * BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent * 4+ years of hands-on ...

Advanced Data Scientist

Atlanta, GA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Honeywell Forge and AI team is a significant business segment of Honeywell International Inc ... Bachelor's degree in computer science, Engineering, Applied Mathematics or related STEM field

Advanced Data Scientist

Atlanta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Honeywell Forge and AI team is a significant business segment of Honeywell International Inc ... Bachelor's degree in computer science, Engineering, Applied Mathematics or related STEM field

Advanced Data Scientist

Atlanta, GA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Honeywell Forge and AI team is a significant business segment of Honeywell International Inc ... Bachelor's degree in computer science, Engineering, Applied Mathematics or related STEM field

Showing results 21-40

Full Time Ai Computer Science information

What is a full time AI computer science job?

A Full Time AI Computer Science job typically involves working as a professional in the field of artificial intelligence, applying computer science principles to develop, implement, and optimize AI systems and solutions. Responsibilities may include designing machine learning models, analyzing data, programming algorithms, and collaborating with other engineers and data scientists. These roles are usually found in technology companies, research institutions, and industries adopting AI to enhance products or services, and require a strong background in computer science, mathematics, and programming languages such as Python or Java.

What are the key skills and qualifications needed to thrive as a full time AI computer scientist?

To thrive as a Full-Time AI Computer Scientist, you need strong programming skills (Python, C++), a solid background in mathematics and statistics, and at least a bachelor's or master's degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and relevant certifications like TensorFlow Developer or AWS Machine Learning are typically required. Critical thinking, problem-solving, and effective teamwork help set top professionals apart in this field. These skills are crucial for designing, implementing, and optimizing AI solutions that solve complex real-world problems.

What are some common challenges faced by professionals in a full time AI computer science role, and how can they be addressed?

Professionals in full-time AI computer science roles often encounter challenges such as staying current with rapidly evolving technologies, managing large datasets, and effectively translating business needs into technical solutions. Keeping up with the latest research papers, tools, and frameworks is essential but can be time-consuming. Collaborating closely with cross-functional teams and participating in knowledge-sharing sessions can help bridge gaps and foster innovation. Additionally, leveraging mentorship and continuous learning opportunities within the organization can support career growth and help tackle complex problems more efficiently.

What is the difference between Full Time Ai Computer Science vs Data Scientist?

AspectFull Time Ai Computer ScienceData Scientist
Required CredentialsBachelor's or higher in Computer Science, AI, or related fields; certifications in AI/MLBachelor's or higher in Data Science, Statistics, or related fields; certifications in Data Analysis or ML
Work EnvironmentTech companies, research labs, AI-focused teamsBusiness, finance, healthcare, tech firms analyzing data
Employer & Industry UsagePrimarily in AI development, machine learning projectsData analysis, predictive modeling, business insights

Full Time Ai Computer Science roles focus on developing AI algorithms and systems, often requiring strong programming and machine learning skills. Data Scientists analyze data to extract insights, using statistical and analytical tools. While both roles involve machine learning, AI Computer Science emphasizes building AI models, whereas Data Scientists focus on interpreting data for decision-making.

What are the most commonly searched types of Ai Computer Science jobs in Georgia?

The most popular types of Ai Computer Science jobs in Georgia are:

What are popular job titles related to Full Time Ai Computer Science jobs in Georgia?

For Full Time Ai Computer Science jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Full Time Ai Computer Science jobs in Georgia look for?

The top searched job categories for Full Time Ai Computer Science jobs in Georgia are:

What cities in Georgia are hiring for Full Time Ai Computer Science jobs?

Cities in Georgia with the most Full Time Ai Computer Science job openings:

Infographic showing various Full Time Ai Computer Science job openings in Georgia as of June 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution.

AI Scientist 2

Intuit

Atlanta, GA • On-site

Full-time

Re-posted 9 days ago


Intuit rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

106th of 244 rated software companies


Job description

Overview

We are seeking an AI Scientist to work with our collaborative and creative group of scientists and engineers to design and implement the next generation AI and machine learning systems that will power our omnichannel marketing platform. In this role, you will develop and deploy modern machine learning and AI models directly in our core product to address key customer challenges. We are looking for someone passionate about the full model development lifecycle, eager to collaborate with product managers to shape innovative AI product experiences, and driven to make a significant impact on our customers.


Responsibilities


  • Explore, develop, and deploy machine learning models, contributing to the end-to-end ML lifecycle in partnership with machine learning engineers and guided by senior scientists.

  • Apply various machine learning techniques (supervised, unsupervised, reinforcement learning, NLP, GenAI) to improve relevance and personalization algorithms, with an emphasis on understanding and implementing solutions that support broader AI initiatives.

  • Collaborate with product managers, software engineers, and designers in designing experiments and minimum viable products, learning to integrate insights from advanced AI systems.

  • Discover, process, and train on huge data sets.

  • In partnership with product managers and analysts, run regular A/B tests, perform statistical analysis, draw conclusions on the impact of your models, and communicate results to peers and leaders.

  • Research and explore new technology shifts, particularly in generative AI and advanced ML, to understand their potential connection with customer benefits and inform ongoing AI strategy.


Qualifications


  • MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.) or equivalent work experience.

  • 1+ years of experience in modern AI/ML tools and proficient in Python and typical AI/ML libraries (e.g., TensorFlow, PyTorch, Keras). Familiarity with distributed computing frameworks (e.g., Spark, Ray) is a plus.

  • 1+ years of experience in machine learning techniques such as classification, regression, neural networks, large language models, recommender systems, natural language processing, clustering, anomaly detection, and computer vision. Understanding of MLOps principles and practices (e.g., version control, CI/CD for ML models) is a plus.

  • Familiar with the latest trends and applications of generative AI including agentic applications. 

  • Efficient in SQL

  • Comfortable in a Linux environment

  • Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences.


Footer

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. 




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