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Machine Learning Architect Jobs in Atlanta, GA (NOW HIRING)

Equifax, Inc.

Senior Machine Learning Architect

Atlanta, GA · On-site

$124K - $169K/yr

... which the machine learning solutions are being applied, enabling the company to develop impactful big data solutions * Cloud Computing - Proficiency in data architecture design, data strategy ...

Equifax, Inc.

Machine Learning Engineer

Atlanta, GA · On-site

Equifax is excited to add a Machine Learning Engineer to our team. What you'll do * Design complex ... Collaborate with the product team, architects, and others to understand the opportunities and ...

Dolby

AI Architect - Media

Atlanta, GA · On-site

Role Overview We are seeking a Senior Staff AI / Machine Learning Architect to serve as a key technical bridge between research teams and product engineering organizations. In this role, you will ...

Dolby

AI Architect - Media

Atlanta, GA · On-site

Role Overview We are seeking a Senior Staff AI / Machine Learning Architect to serve as a key technical bridge between research teams and product engineering organizations. In this role, you will ...

Dolby

AI Architect - Media

Atlanta, GA · On-site

Role Overview We are seeking a Senior Staff AI / Machine Learning Architect to serve as a key technical bridge between research teams and product engineering organizations. In this role, you will ...

Via Licensing Corporation

AI Architect - Media

Atlanta, GA · On-site

$160K/yr

Role Overview We are seeking a Senior Staff AI / Machine Learning Architect to serve as a key technical bridge between research teams and product engineering organizations. In this role, you will ...

SAP

Machine Learning Expert

Atlanta, GA · On-site

$152K - $254K/yr

Machine Learning Expert Location: Atlanta, GA Work Model: Hybrid Work Model. Purpose and Objective ... Architect, design, and implement production systems in Go, Java and Python. Build and optimize ...

SAP SuccessFactors

Machine Learning Expert

Atlanta, GA · On-site

$152K - $254K/yr

Machine Learning Expert Location: Atlanta, GA Work Model: Hybrid Work Model. Purpose and Objective ... Architect, design, and implement production systems in Go, Java and Python. Build and optimize ...

SAP SE

Machine Learning Expert

Atlanta, GA · On-site

$152K - $254K/yr

Machine Learning Expert Location: Atlanta, GA Work Model: Hybrid Work Model. Purpose and Objective ... Architect, design, and implement production systems in Go,Javaand Python. Build andoptimizebackend ...

Five and Fly

Machine Learning Engineer

Atlanta, GA · On-site

Machine Learning Engineer Employment Type: Full Time Location: Atlanta, GA Description We are ... Participate in design reviews, architecture discussions, and model evaluations. * Document ...

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All JobsMachine Learning Architect JobsMachine Learning Architect Jobs in Atlanta, GA

Machine Learning Architect information

See Atlanta, GA salary details

$44.7K

$123.8K

$193.8K

How much do machine learning architect jobs pay per year?

As of Sep 13, 2026, the average yearly pay for machine learning architect in Atlanta, GA is $123,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,500.00 and $159,600.00 per year, depending on experience, location, and employer.

What does a machine learning architect do?

A Machine Learning Architect designs and oversees the implementation of machine learning systems, ensuring they are scalable, efficient, and aligned with business goals. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate technologies, and optimize model deployment. Their role includes managing ML workflows, ensuring data pipeline integrity, and addressing challenges like model performance, scalability, and reliability.

What skills and qualifications are needed to be a machine learning architect?

To thrive as a Machine Learning Architect, you need deep expertise in machine learning algorithms, data science, and software engineering, typically backed by an advanced degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), ML frameworks (such as TensorFlow and PyTorch), and professional certifications in machine learning or data engineering is highly valuable. Exceptional problem-solving, leadership, and cross-functional communication skills help you effectively design solutions and collaborate with diverse technical teams. These skills are essential for architecting robust, scalable ML systems that align with business objectives and drive innovation.

What is the salary of a machine learning architect?

The salary of a machine learning architect typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning, cloud platforms, or specific tools may earn higher compensation, often exceeding $180,000 per year.

What are popular job titles related to Machine Learning Architect jobs in Atlanta, GA?

For Machine Learning Architect jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Architect jobs in Atlanta, GA look for?

The top searched job categories for Machine Learning Architect jobs in Atlanta, GA are:

Machine Learning Architect jobs near you
Infographic showing various Machine Learning Architect job openings in Atlanta, GA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 20% Part Time, and 3% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $123,819 per year, or $59.5 per hour.

Vertex AI Machine Learning Architect

Alpharetta, GA • On-site

CirrusLabs
IT Services • 11 - 50 employees
Learn more about CirrusLabsexternal

Full-time

Re-posted 22 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.

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