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Artificial Intelligence Machine Learning Engineer Jobs in Georgia

Equifax, Inc.

Machine Learning Engineer

Atlanta, GA · On-site

Define projects and scope for teams of engineers and guide their completion * Develop, identify ... Artificial Intelligence - Designing scalable and maintainable machine learning architectures and ...

Speria

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $160/hr

We provide our customers with solutions in Business Intelligence, Live Production Accounting ... Job Summary We are seeking a highly skilled and motivated Machine Learning Engineer to join our ...

KSB GIW, Inc.

Machine Learning Engineer

Grovetown, GA · On-site

$70 - $110/hr

Machine Learning Engineer Department: Engineering, Research & Development Reports to: Metallurgical and Materials R&D Lab Manager Location: Grovetown, GA, USA (onsite) Shift: First FLSA Status:

KSB, Inc.

Machine Learning Engineer

Grovetown, GA · On-site

$70 - $95/hr

Machine Learning Engineer**### **KSB GIW, Inc.**### **Department:** Engineering, Research & Development **Reports to:** Metallurgical and Materials R&D Lab Manager **Location:** Grovetown, GA, USA ...

Ksb

Machine Learning Engineer

Grovetown, GA · On-site

Machine Learning Engineer KSB GIW, Inc. Department: Engineering, Research & Development Reports to: Metallurgical and Materials R&D Lab Manager Location: Grovetown, GA, USA (onsite) Shift: First FLSA ...

Virtusa Corporation

Sr. AI/ML Engineer

Atlanta, GA · On-site

$100K - $138K/yr

As a Machine Learning Engineer, you will play a crucial role in the development and implementation of cutting-edge artificial intelligence products. No of Experience: 10+ years' experience.

Five and Fly

Machine Learning Engineer

Atlanta, GA · On-site

Machine Learning Engineer Employment Type: Full Time Location: Atlanta, GA Description We are seeking a skilled and forward-looking ML Engineer with experience in Large Language Models (LLMs ...

Purple Drive

AI/ML Engineer

Atlanta, GA

$110K - $132K/yr

... Artificial Intelligence and Machine Learning. Bachelor degree in computer scienceEngineering, or related field.Strong Hands on Experience on Python coding and all the python libraries. Manageand ...

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Artificial Intelligence Machine Learning Engineer information

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$26.6K

$108.7K

$163.4K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for artificial intelligence machine learning engineer in Georgia is $108,730.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,700.00 and $130,900.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Georgia?

For Artificial Intelligence Machine Learning Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Georgia look for?

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Georgia are:

What cities in Georgia are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities in Georgia with the most Artificial Intelligence Machine Learning Engineer job openings:

Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Georgia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $108,730 per year, or $52.3 per hour.

Artificial Intelligence/Machine Learning SME

Scientific Research Corporation

Augusta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago

Job description

Description
Scientific Research Corporation (SRC) is seeking a highly experienced Subject Matter Expert (SME) in AI/ML Engineering to support the Test Resource Management Center's operation of the Artificial Intelligence Digital Engineering Test Laboratory (AIDETL) in Augusta, Georgia. This role will be pivotal in developing the next generation of government AI Test & Evaluation professionals for the Department of War.
In this role, you will work alongside other SME's, students, interns, engineers, AI and DE experts from academia and other industry teammates to translate operational and strategic requirements into educational opportunities as well as scalable, production-ready solutions. You will contribute directly to product planning, execution, intern mentoring and continuous improvement-helping ensure qualified individuals are delivered efficiently to the Department of War and positioned for sustained success.
This position offers the opportunity to work on a high-visibility, mentorship program at the intersection of data, analytics, and emerging AI technologies. Ideal candidates are motivated by mission impact, have strong interpersonal skills and the willingness to mentor interns, must be comfortable operating in complex stakeholder environments, and interested in building deep domain expertise while delivering capabilities and training individuals with real-world national security outcomes.
Responsibilities will include, but may not be limited to:
  • Serving as the primary Subject Matter Expert on AI/ML Engineering for the AIDETL Interns and staff, providing authoritative guidance on AI strategy, architecture, policy, and implementation aligned with the AIDETL's mission objectives
  • Providing expert-level training, workshops, and briefings to AIDETL Interns on AI/ML concepts and AI/ML best practices
  • Assisting in AIDETL curriculum development
  • Building and maintaining data pipelines for efficient data processing and model training
  • Training and tuning algorithms to improve predictive accuracy and decision-support tasks
  • Deploying models into production environments, ensuring reliability and performance
  • Identifying and integrating appropriate COTS, government, and custom tools within established frameworks
  • Collaborating with cross-functional teams to ensure alignment with enterprise architecture and security requirements
  • Staying updated on industry trends and advancements in AI/ML technologies
  • Developing and implementing best practices for model development and deployment
  • Ensuring compliance with cybersecurity policies and standards throughout the project lifecycle
  • Analyzing system performance metrics and recommend improvements for efficiency and scalability

FILLING THIS POSITION IS CONTINGENT UPON FUNDING
#LI-HK1
Requirements
  • Secret clearance
  • Bachelor's degree in computer science, Data Science, Artificial Intelligence, Engineering, or related technical discipline and 12-15 years of relevant experience OR Master's degree in a related field and 10-13 years of relevant experience.
  • 5 + years designing, building, and operating end-to-end AI/ML infrastructure (data ingestion, feature pipelines, model training, and serving) in production environments.
  • Expert-level proficiency with at least two of the following: TensorFlow, PyTorch, JAX, or Scikit-Learn, including design of deep-learning architectures (CNN, RNN, Transformer) and model-explainability methods (SHAP, LIME, Counterfactuals).
  • Proven ability to build end-to-end MLOps pipelines (CI/CD, automated testing, model versioning, monitoring) using Kubeflow, MLflow, TFX, or similar tools, and to deploy models in production and development environments.
  • Experience instrumenting pipelines with Prometheus, Grafana, CloudWatch/Stackdriver, Open Telemetry; implementing automated model-drift detection, data-quality checks, and compliance/audit trails.
  • Ability to translate complex business problems (e.g., computer vision, NLP, predictive maintenance, anomaly detection) into robust ML solutions and evaluate them against domain-specific KPIs (accuracy, latency, cost, safety).
  • Strong programming skills in languages such as Python, R, or Java.
  • Strong problem-solving abilities and analytical thinking.
  • Strong communication and interpersonal skills.
  • Solid understanding and hands-on experience with generative AI models including prompt engineering, chain-of-thought reasoning, and Natural Language Processing (NLP) tasks such as entity extraction, summarization, and semantic search.
  • Experience mentoring junior engineers, leading cross-functional AI projects, and clearly communicating technical concepts to both technical and non-technical audiences (executives, product owners, compliance teams).
  • Excellent documentation and presentation skills are required Familiarity with deployment into virtualized and containerized environments (e.g., VMware, Docker, Kubernetes).
  • Strong project management skills with the ability to own initiative execution from start to finish, adapting to evolving AIDETL curriculum needs and mission priorities.

Desired Skills
  • 12+ years of experience in AI/ML and/or data engineering or related fields.
  • Experience leading and managing Agile SCRUM teams. (Strong familiarity with Agile Scrum processes and methodologies)
  • Experience supporting AI/ML solutions across multi-enclave DoD environments.
  • Experience implementing automated model validation, bias detection, and drift monitoring frameworks.
  • Experience integrating AI services into enterprise APIs and microservices architectures.
  • Experience optimizing GPU-based training and inference pipelines.
  • Experience supporting enterprise-scale analytics, data platforms, or AI modernization initiatives.
  • Publications, patents, or open-source contributions that demonstrate thought-leadership in emerging AI areas such as foundation models, reinforcement learning, federated learning, or privacy-preserving ML.
  • Familiarity with evaluation and observability tools for AI agents, such as LangSmith, OpenAI Evals, or custom telemetry systems.
  • Experience with AI service integration such as NIMS, Azure OpenAI, Bedrock, GCP Vertex AI.
  • Hands-on GPU programming experience for ML workloads using CUDA, PyTorch, or TensorFlow, including optimization for performance and efficiency.
  • Working knowledge of Large Language Models (LLMs) and agent frameworks such as LangChain, LangGraph, CrewAI, A2A, MCP, or AutoGen.

Clearance Information
SRC IS A CONTRACTOR FOR THE U.S. GOVERNMENT, THIS POSITION WILL REQUIRE U.S. CITIZENSHIP AS WELL AS, A U.S. GOVERNMENT SECURITY CLEARANCE AT THE SECRET LEVEL
Travel Requirements
  • 10% travel primarily to Academic institutions, but also to cyber and physical ranges or industry events

About Us
Scientific Research Corporation is an advanced information technology and engineering company that provides innovative products and services to government and private industry, as well as independent institutions. At the core of our capabilities is a seasoned team of highly skilled engineers and scientists with multidisciplinary backgrounds. This team is challenged daily to provide cutting edge technology solutions to our clients.
SRC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with a company match, life insurance, vacation and sick paid time off accruals with amounts increasing based on role and years of service, 11 paid holidays, tuition reimbursement, and a work environment that encourages excellence and more. For positions requiring a security clearance, selected applicants will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
EEO
Scientific Research Corporation is an equal opportunity employer that does not discriminate in employment. All qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other protected characteristic under federal, state or local law.
Scientific Research Corporation endeavors to make www.scires.com 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 jobs@scires.com for assistance. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.

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