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Machine Learning Ai Developer Jobs in Cumming, GA

Speria

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $160/hr

Job Summary We are seeking a highly skilled and motivated Machine Learning Engineer to join our ... Familiarity with LLMs, generative AI, and agent-based systems * MS may qualify with 1-2 years; BS ...

Five and Fly

Machine Learning Engineer

Atlanta, GA · On-site

Contributions to open-source AI/ML projects or publications in applied ML research. Seeking following AFSC/MOSs US Army: 17D - Cyber Capability Developer 17C - Cyber Operations Specialist (Advanced ...

Emonics LLC

Junior AI Engineer

Atlanta, GA · On-site

We are looking for an Associate AI Engineer to support the development, integration, testing, and deployment of AI and machine-learning solutions. Responsibilities: * Develop and maintain AI/ML ...

Emory Healthcare

AI Engineer

Atlanta, GA · On-site

$120 - $180/hr

Description The AI Engineer is responsible for designing, developing, implementing, and supporting ... machine learning, cloud computing, and DevOps/MLOps. #J-18808-Ljbffr

Metas Solutions

AI/Machine Learning Engineer

Atlanta, GA · On-site

$140 - $190/hr

... deploying machine learning models * 8+ years of experience with Generative AI, LLMs, or RAG ... Knowledge of Agile workflows and tools like Azure DevOps or JIRA * Possession of excellent oral and ...

Tror AI for everyone

Data Scientist

Atlanta, GA · On-site

Machine Learning & AI Engineering: * Possess strong experience developing, evaluating, and deploying machine learning and deep learning models across the model lifecycle. * Experience building and ...

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All JobsMachine Learning Ai Developer JobsMachine Learning Ai Developer Jobs in Cumming, GA

Machine Learning Ai Developer information

See Cumming, GA salary details

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How much do machine learning ai developer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for machine learning ai developer in Cumming, GA is $47.62, according to ZipRecruiter salary data. Most workers in this role earn between $42.02 and $54.04 per hour, depending on experience, location, and employer.

What is the difference between Machine Learning Ai Developer vs Data Scientist?

AspectMachine Learning Ai DeveloperData Scientist
CredentialsBachelor's or higher in CS, AI, or related fields; certifications in ML/AIBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech companies or R&DAnalyzes data, builds models, and provides insights; in various industries including finance, healthcare
Industry UsagePrimarily in AI product development, software, and tech firmsAcross industries for data analysis, business intelligence, and decision-making

While both roles require knowledge of machine learning and programming, Machine Learning Ai Developers focus on creating and deploying AI models and applications, whereas Data Scientists analyze data to extract insights and inform business strategies. The roles often overlap but differ in primary focus and application.

Is machine learning AI developer a good career?

A machine learning AI developer is a highly in-demand role that involves designing algorithms and models to enable machines to learn from data. It offers strong job growth, competitive salaries, and opportunities across various industries such as technology, healthcare, and finance. Success in this field typically requires skills in programming, mathematics, and familiarity with tools like Python and TensorFlow.

What does a machine learning AI developer do?

A machine learning AI developer designs, builds, and maintains algorithms and models that enable computers to learn from data and make predictions or decisions. They work with programming languages like Python or R, utilize frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists and engineers to deploy AI solutions in various applications.

What are popular job titles related to Machine Learning Ai Developer jobs in Cumming, GA?

For Machine Learning Ai Developer jobs in Cumming, GA, the most frequently searched job titles are:

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The top searched job categories for Machine Learning Ai Developer jobs in Cumming, GA are:

What cities near Cumming, GA are hiring for Machine Learning Ai Developer jobs?

Cities near Cumming, GA with the most Machine Learning Ai Developer job openings:

Machine Learning Ai Developer jobs near you

Machine Learning Engineer 3 4P/392

4P Consulting Inc

Atlanta, GA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Machine Learning Engineer 3 (AI Engineer)
Location: Atlanta, GA

Client- Southern Comapny Gas

Contract- 1 Year

Job Summary

We are seeking a highly skilled Machine Learning Engineer (Level 3) with 5-10 years of experience to design, develop, and deploy advanced AI models and systems. This role requires expertise in machine learning, data analysis, and model deployment to optimize business operations and drive innovation within the utilities and energy sector.

The successful candidate will collaborate with cross-functional teams-including data scientists, engineers, and business stakeholders-to integrate AI solutions into real-world applications that support operational efficiency, customer service, and sustainability initiatives.
Key Responsibilities

  • AI Model Development: Design and implement machine learning models and algorithms to address utility-specific challenges such as grid optimization, asset reliability, predictive maintenance, and customer analytics.
  • Data Analysis: Analyze large, complex datasets from SCADA, AMI, and IoT systems to extract actionable insights.
  • Model Training & Evaluation: Train, test, and validate AI models to ensure accuracy, scalability, and compliance with industry reliability standards.
  • Deployment & Integration: Deploy AI solutions into production systems and integrate with enterprise platforms (e.g., Azure, Maximo, EMS/DMS systems).
  • Innovation: Stay current with the latest advancements in AI/ML and recommend solutions that can enhance grid resilience, safety, and efficiency.
  • Collaboration: Partner with engineering, IT, and business units to define requirements and deliver business-aligned AI solutions.
  • Performance Monitoring: Continuously monitor AI models and refine as needed to maintain performance and compliance.
  • Documentation & Knowledge Sharing: Create clear documentation of models, workflows, and processes for reuse and compliance.

Qualifications

Education:

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.

Experience:

  • 5-10 years of experience in AI, ML, or data science roles, with proven success in AI model development and deployment.
  • Industry experience in utilities, energy, or large-scale infrastructure data is preferred.

Technical Skills:

  • Proficiency in Python, R, or Java.
  • Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn.
  • Strong grasp of data structures, algorithms, and applied statistics.
  • Familiarity with cloud platforms such as Azure ML and Azure Databricks (preferred), AWS or Google Cloud (a plus).
  • Experience with big data tools (e.g., Spark, Hadoop) is desirable.
  • Exposure to natural language processing (NLP) or computer vision a plus.

Soft Skills:

  • Strong analytical and problem-solving abilities.
  • Excellent communication skills for cross-functional collaboration.
  • Ability to work independently and manage multiple projects simultaneously.
  • Experience working in agile or iterative development environments.

Preferred Qualifications

  • Lighting up AI/ML use cases in the utility/energy sector (e.g., outage prediction, DERMS optimization, vegetation management analytics).
  • Certifications in AI/ML, data science, or cloud platforms (Azure, AWS, GCP).
  • Experience with MLOps pipelines and CI/CD integration for model deployment.

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