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Ai Machine Learning Specialists Jobs in Georgia (NOW HIRING)

Bachelor's degree in technology, Engineering, or Computer Science. * 8+ years of experience designing, developing, and deploying machine learning models * 8+ years of experience with Generative AI ...

Around the globe, more than 190 service centres and around 3,500 service specialists are on hand to ... You'll work at the intersection of machine learning and the physical world to build AI systems that ...

Around the globe, more than 190 service centres and around 3,500 service specialists are on hand to ... You'll work at the intersection of machine learning and the physical world to build AI systems that ...

W2 Candidates Only We are seeking a Machine Learning Engineer to develop, deploy, and optimize machine learning models and AI solutions. The ideal candidate will have strong experience with Python ...

You will work closely with AI/ML researchers, data engineers, and product teams to design ... Warfare Specialist 35N / 35P / 35S (Intel Analysts w/ coding exposure) US AirForce: 17X ...

Equifax is excited to add a Machine Learning Engineer to our team. What you'll do * Design complex ... AI/ML coursework preferred * 7+ years of related work experience, including proven experience ...

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Ai Machine Learning Specialists information

What is the difference between Ai Machine Learning Specialists vs Data Scientists?

AspectAi Machine Learning SpecialistsData Scientists
CredentialsDegree in Computer Science, AI, or related fields; certifications in ML frameworksDegree in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentDevelop and optimize ML models, focus on algorithms and AI systemsAnalyze data, create reports, interpret data insights
Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, and other data-driven industries

While both roles involve working with data and algorithms, Ai Machine Learning Specialists focus primarily on developing and deploying machine learning models and AI systems, whereas Data Scientists analyze and interpret data to inform business decisions. The roles often overlap but differ in their core focus and skill sets.

What does an AI Machine Learning Specialist do?

An AI Machine Learning Specialist develops and implements algorithms that enable computers to learn from data and improve their performance over time. They work with large datasets, use programming languages like Python or R, and often utilize machine learning frameworks such as TensorFlow or PyTorch to create predictive models and automate decision-making processes.

What is the salary of AI machine learning specialists?

AI machine learning specialists typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in deep learning or data engineering can earn higher salaries, often exceeding $200,000. Certifications in relevant tools like TensorFlow or PyTorch can also influence compensation.

What are popular job titles related to Ai Machine Learning Specialists jobs in Georgia?

For Ai Machine Learning Specialists jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Ai Machine Learning Specialists jobs in Georgia look for?

The top searched job categories for Ai Machine Learning Specialists jobs in Georgia are:

What cities in Georgia are hiring for Ai Machine Learning Specialists jobs?

Cities in Georgia with the most Ai Machine Learning Specialists job openings:

Infographic showing various Ai Machine Learning Specialists job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Vertex AI Machine Learning Architect

CirrusLabs

Alpharetta, GA • On-site

Full-time

Re-posted 16 days ago


Job description

Job Summary:
CirrusLabs is a niche digital transformation company focused on innovation and co-creating success with its customers. They are seeking a Vertex AI Machine Learning Architect to develop, deploy, and manage machine learning models using Google Cloud's Vertex AI platform, while collaborating with teams to implement AI solutions that solve complex business problems.
Responsibilities:
• Design, develop, and deploy machine learning models using Vertex AI.
• Integrate Vertex AI with other Google Cloud services such as AlloyDB, BigQuery, Cloud Storage, and Dataflow.
• Utilize AutoML capabilities to create high-quality models with minimal manual effort.
• Develop custom training pipelines for more complex machine learning tasks using frameworks like TensorFlow and PyTorch.
• Implement and manage Vertex AI Pipelines for orchestrating end-to-end machine learning workflows.
• Monitor and optimize model performance post-deployment, ensuring models remain accurate and efficient over time.
• Collaborate with data scientists, software engineers, and other stakeholders to understand business requirements and translate them into effective AI solutions.
• Perform hyperparameter tuning to enhance model performance.
• Utilize Vertex AI Feature Store for feature management and reuse.
• Conduct online and batch predictions using Vertex AI prediction services.
• Adhere to MLOps best practices for model versioning, deployment, and lifecycle management.
Qualifications:
Required:
• Proven experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Hands-on experience with Google Cloud Platform (Google Cloud Platform) services, specifically Vertex AI.
• Strong programming skills in Python or a similar language.
• Familiarity with data processing tools like Apache Beam, Dataflow, or similar.
• Understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
• Experience with AutoML tools and techniques.
• Excellent problem-solving skills and the ability to work in a fast-paced environment.
• Strong communication and collaboration skills.
Company:
CirrusLabs is an IT company provides agile software delivery, automation, cloud Services, and IoT. Founded in 2005, the company is headquartered in Alpharetta, USA, with a team of 201-500 employees. The company is currently Growth Stage.