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

Dolby Laboratories, Inc.

AI Architect

Atlanta, GA

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

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 ...

Saxon Global

Machine Learning Engineer

Atlanta, GA · On-site

... building a modern, machine learning-driven search platform that powers intelligent product ... Implement ML -driven search components designed by a Search Architect * Build and maintain Python ...

Autodesk

Machine Learning Engineering Manager

Atlanta, GA · On-site

$148K - $266K/yr

As an Machine Learning AI Development Manager for the AEC Solutions group, you will lead your team ... You will report to the Senior AI/ML Development Manager in the Architecture, Engineering, and ...

Autodesk

Machine Learning Engineering Manager

Atlanta, GA · On-site

$148K - $266K/yr

As an Machine Learning AI Development Manager for the AEC Solutions group, you will lead your team ... You will report to the Senior AI/ML Development Manager in the Architecture, Engineering, and ...

Inovalon

Senior Machine Learning Engineer

Atlanta, GA

$117K - $155K/yr

The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which ... and architecture decisions. * Support integration of frontend components into ML-powered features ...

Inovalon

Senior Machine Learning Engineer

Atlanta, GA · On-site +1

$117K - $155K/yr

The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which ... and architecture decisions. * Support integration of frontend components into ML-powered features ...

AEG Presents

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

Architect Scalable ML Systems: Design and build the end-to-end machine learning infrastructure, transitioning experimental Data Science models into robust, high-availability production services.

AEG

Staff Machine Learning Engineer

Atlanta, GA · On-site

$220K - $280K/yr

Architect Scalable ML Systems: Design and build the end-to-end machine learning infrastructure, transitioning experimental Data Science models into robust, high-availability production services.

PrizePicks

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

Architect Scalable ML Systems: Design and build the end-to-end machine learning infrastructure, transitioning experimental Data Science models into robust, high-availability production services.

RIT Solutions

Machine Learning AI Engineer

Atlanta, GA · Hybrid

$110K - $132K/yr

Machine Learning AI Engineer Location: Hybrid in Atlanta, GA (3 days onsite 2 days remote) They ... architecture, runbooks, and model artifacts; participate in technical reviews Required Skills ...

Deloitte

AI Solutions Architect

Atlanta, GA · On-site

$60.50 - $79.75/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning ... Collaborating with architects, engineers, data scientists, and business stakeholders to align ...

Deloitte

AI Solutions Architect

Atlanta, GA

$60.50 - $79.75/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning ... Collaborating with architects, engineers, data scientists, and business stakeholders to align ...

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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 Jun 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 typical projects or responsibilities might a Machine Learning Architect handle on a daily basis?

A Machine Learning Architect often leads the design and integration of scalable machine learning solutions, working closely with data scientists, engineers, and product managers to translate business problems into technical architectures. Daily tasks may include selecting appropriate ML models, overseeing data pipeline construction, defining system requirements, and ensuring best practices in model deployment and monitoring. They also review code, mentor junior team members, and collaborate across teams to align on project goals and timelines. The role offers a mix of hands-on technical work and strategic planning, providing a dynamic and impactful work environment.

What does a machine learning architect do?

A machine learning architect designs and develops machine learning systems and infrastructure to solve complex problems. They evaluate data, select appropriate algorithms, and oversee model deployment, often using tools like Python, TensorFlow, or cloud platforms. Strong programming skills and understanding of data architecture are essential for this role.

What is the salary of an ML 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 with advanced skills in deep learning, data engineering, and cloud platforms can earn higher compensation, often exceeding $180,000.

Which 5 jobs will survive AI?

Machine Learning Architects are likely to continue to be in demand as they design and oversee AI systems, requiring expertise in algorithms, data modeling, and programming. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and creative designers—are also expected to persist despite AI advancements. These jobs typically require specialized skills, critical thinking, and emotional intelligence that AI cannot easily replicate.

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 are the key skills and qualifications needed to thrive in the Machine Learning Architect position, and why are they important?

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.

Is ML a high paying job?

Machine Learning Architect roles are generally high-paying due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Salaries often vary based on experience, location, and industry, but they tend to be above average compared to many other tech positions.
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 June 2026, with employment types broken down into 1% Locum Tenens, 3% As Needed, 82% Full Time, 12% Part Time, and 2% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $123,819 per year, or $59.5 per hour.
Vertex AI Machine Learning Architect

Vertex AI Machine Learning Architect

CirrusLabs

Alpharetta, GA • Remote

$62.25 - $80/hr

Other

Posted 20 days ago

Job description

We are CirrusLabs. Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners and community. Our goal is to enable employees to dream, grow and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values driven organization.
You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve.
You are excited about creating change because your skills can help the greater good of every customer, industry and community. We are hiring a talented to join our team. If you're excited to be part of a winning team, CirrusLabs (http://www.cirruslabs.io) is a great place to grow your career.
We are looking for candidates having hands on experience as a Vertex AI Machine Learning Architect. The Vertex AI Machine Learning Architect will be responsible for developing, deploying, and managing machine learning models using Google Cloud's Vertex AI platform. The ideal candidate will have a strong background in machine learning, experience with Google Cloud services, and a passion for solving complex problems with AI. Conceptualize, design, and implement AI models, algorithms, and systems to solve complex business problems.

  • Research and stay up to date with the latest AI technologies and techniques, recommending and implementing their application as appropriate.
  • Collaborate with creative technology leaders and cross-functional teams to test feasibility of new ideas, help refine and validate client requirements and translate them into working prototypes, and from thereon to scalable Gen-AI solutions.
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.
Requirements:
  • 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.

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