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Ml Engineer Jobs in Georgia (NOW HIRING)

AI / ML Engineer

Sandy Springs, GA · On-site

$60 - $70/hr

Business Consultant - AI/ML Engineer Location: Atlanta/Chicago Employment Type: Contract/Permanent Role Summary NTT DATA's Client is seeking an experienced AI/ML Engineer to design, develop, and ...

AI/ML Engineer

Atlanta, GA

$110K - $132K/yr

Experienced AI/ML Engineer with expertise in Machine Learning, Deep Learning, NLP,and Generative AI. strong expertise in LLMs, Retrieval-Augmented Generation (RAG),Agentic AI, and MLOps to develop ...

AI/ML Engineer - Remote

Atlanta, GA · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

AI/ML engineer

Atlanta, GA · On-site

$110K - $132K/yr

OVA.Work is seeking a talented AI/ML Engineer to design, develop, and deploy machine learning and artificial intelligence solutions. The ideal candidate will build scalable AI models, optimize ...

Experience with CI/CD pipelines and DevOps practices. * Experience with Docker and Kubernetes containerization and orchestration. * Exposure to Cloud ML/AI platforms such as AWS, Azure, or GCP.

Lead AI/ML Engineer

Atlanta, GA · On-site

$98K - $129K/yr

Lead AI/ML Engineer Location: Remote Duration: Full-time Note: Need Exceptional exp in AI/ML concepts (GenAI, Agentic, RAG), Vector DB works, news recommendation system using GenAI) or provide ...

Senior Data & ML Engineer

Alpharetta, GA · On-site

$103K - $140K/yr

Job Title Senior Data & ML Engineer About Your role: As a Senior Data & ML Engineer, you will play a lead technical role in building and operationalizing the data engineering, ETL, and MLOps ...

AI/ML Engineer Location : Alpharetta, GA / NYC, NY (8-15 years) Mandatory Skills: * Model development & deployment * REST API integration for ML models Preferred Skills: * Experience with NLP, deep ...

Senior AI/ML Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Senior AI/ML Engineer Location: Bellevue/Seattle, WA ; Atlanta, GA, and Frisco, TX Need Local Candidates Job Overview We are seeking an AI/ML Engineer to build the intelligent systems that power ...

AI/ML Engineer

Atlanta, GA · Hybrid

$120K/yr

Chenega Services & Federal Solutions, LLC , a Chenega Professional Services' company, is looking for a AI/ML Engineer . In this role, you'll serve as a strategic AI technical lead supporting the ...

The ideal candidate will have a strong engineering background with a deep understanding of ML systems design, inferencing pipelines, and microservicesbased APIs. Experience working in Agile ...

AI/ML Engineer

Atlanta, GA · On-site

$110 - $120/hr

Chenega Services &FederalSolutions, LLC , a Chenega Professional Services' company, is looking for a AI/ML Engineer . In this role, you'll serve as a strategic AI technical lead supporting the ...

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Showing results 1-20

Ml Engineer information

See Georgia salary details

$27.9K

$75.3K

$119.9K

How much do ml engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for ml engineer in Georgia is $75,305.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,200.00 and $92,000.00 per year, depending on experience, location, and employer.

What is an ML engineer?

ML Engineers, or Machine Learning Engineers, are professionals who design, build, and deploy machine learning models into production systems. They bridge the gap between data science and software engineering, ensuring that machine learning solutions are scalable, reliable, and efficient. ML Engineers work with large datasets, develop algorithms, and optimize models for performance. They also collaborate with data scientists, software developers, and business stakeholders to solve real-world problems using artificial intelligence.

What are the key skills and qualifications needed to thrive as an ML engineer?

To thrive as an ML Engineer, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a degree in a related field. Familiarity with programming languages like Python or R, ML frameworks such as TensorFlow or PyTorch, and data processing tools is typically required, with relevant certifications being a plus. Strong problem-solving, critical thinking, and communication skills help you translate complex data insights into actionable solutions and work effectively in teams. These abilities ensure accurate model development, effective deployment, and successful collaboration on data-driven projects.

What are some common challenges ML engineers face when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring models remain accurate over time as data changes (known as data drift), optimizing models for speed and scalability, and integrating models seamlessly with existing software systems. Additionally, maintaining model performance in real-world environments can require continuous monitoring, retraining, and close collaboration with data engineers and DevOps teams. Addressing these challenges typically involves robust testing, using automated pipelines, and staying up-to-date with the latest MLOps best practices.

What is the difference between Ml Engineer vs Data Scientist?

AspectML EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related fields; knowledge of ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDevelops, deploys, and maintains ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, startups, and enterprises deploying ML solutionsResearch institutions, tech firms, and industries relying on data analysis

While both roles involve working with data and machine learning, ML Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights to inform business decisions. The roles often overlap but differ in their core responsibilities and focus areas.

Are machine learning engineers still in demand?

Machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. They typically require skills in programming, data analysis, and frameworks like TensorFlow or PyTorch, and often work in environments that emphasize continuous learning and adaptation. The demand is expected to remain strong as organizations increasingly rely on machine learning solutions for competitive advantage.

What does a machine learning engineer do?

A machine learning engineer designs, develops, and deploys machine learning models to solve specific problems using large datasets. They work with programming languages like Python or Java, utilize frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists and software engineers to integrate models into applications.

What are the most commonly searched types of Ml Engineer jobs in Georgia?

The most popular types of Ml Engineer jobs in Georgia are:

What cities in Georgia are hiring for Ml Engineer jobs?

Cities in Georgia with the most Ml Engineer job openings:

Infographic showing various Ml Engineer job openings in Georgia as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $75,305 per year, or $36.2 per hour.

AI / ML Engineer

NTT DATA Americas, Inc

Sandy Springs, GA • On-site

$60 - $70/hr

Other

Posted 8 days ago


NTT Data rating

7.5

Company rating: 7.5 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

110th of 226 rated it services


Job description

Business Consultant – AI/ML Engineer
Location: Atlanta/Chicago
Employment Type: Contract/Permanent
Role Summary
NTT DATA's Client is seeking an experienced AI/ML Engineer to design, develop, and deploy scalable Artificial Intelligence and Machine Learning solutions. The ideal candidate should have strong hands-on experience with Python, machine learning frameworks, data processing, and cloud-based AI/ML services.
The role will collaborate with data scientists, data engineers, application developers, and business stakeholders to build production-ready ML solutions and integrate AI capabilities into enterprise applications.
Day to Day Job Duties
Design, develop, train, and deploy Machine Learning models for enterprise use cases.
Develop data preprocessing, feature engineering, model training, and evaluation pipelines.
Build and integrate AI/ML services with enterprise applications using APIs and Microservices.
Evaluate ML algorithms and optimize models for accuracy, performance, and scalability.
Develop automated ML pipelines for model training, testing, deployment, and monitoring.
Collaborate with Data Scientists, Data Engineers, and business teams to translate requirements into AI/ML solutions.
Implement MLOps practices for model versioning, deployment, monitoring, and lifecycle management.
Work with structured and unstructured datasets from multiple sources.
Monitor production models and address model performance, drift, and data-quality issues.
Participate in code reviews, technical design discussions, and Agile delivery activities.
Basic Qualifications
5+ years of experience in Python development, Data Science, or Machine Learning engineering.
3+ years of experience developing ML solutions using Scikit-learn, TensorFlow, PyTorch, or similar frameworks.
3+ years of experience with data processing, feature engineering, SQL, and model development.
2+ years of experience deploying AI/ML solutions on AWS, Azure, or Google Cloud Platform.
Nice to Have
Experience with Generative AI, Large Language Models (LLMs), and Agentic AI.
Knowledge of RAG, embeddings, vector databases, and semantic search.
Experience with LLM frameworks such as LangChain, LlamaIndex, or similar technologies.
Experience with Azure OpenAI, Amazon Bedrock, Vertex AI, or similar AI platforms.
Knowledge of MLOps tools and model lifecycle management.
Experience with Docker, Kubernetes, and CI/CD pipelines.
Familiarity with Spark, Databricks, Snowflake, or other enterprise data platforms.
Understanding of responsible AI, model governance, security, and data privacy.
Experience developing AI solutions within Banking, Financial Services, Healthcare, Retail, or other enterprise domains.
Strong analytical, problem-solving, communication, and stakeholder management skills.
About NTT DATA:
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($60.00-$70.00/Hour). This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.
NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
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About NTT DATA

Sourced by ZipRecruiter

NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967