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Aws Machine Learning Jobs in Georgia (NOW HIRING)

Machine Learning Engineer Department: Engineering, Research & Development Reports to: Metallurgical ... Cloud compute (AWS or Azure) and GPU‑based training * Coursework or research projects in ...

## Machine Learning EngineerApplylocations: Grovetown, GAposted on: Posted Todayjob requisition id: JR ... Cloud compute (AWS or Azure) and GPU-based training* Coursework or research projects in numerical ...

Machine Learning Engineer KSB GIW, Inc. Department: Engineering, Research & Development Reports to ... Cloud compute (AWS or Azure) and GPU-based training * Coursework or research projects in numerical ...

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML ... Understand and deploy (P4+) AWS AgentSquad, AWS Strands, LangChain agents for autonomous training ...

Machine Learning Lead Engineer

Morrow, GA · On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML ... Understand and deploy (P4+) AWS AgentSquad, AWS Strands, LangChain agents for autonomous training ...

Machine Learning Lead Engineer

Redan, GA · On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML ... Understand and deploy (P4+) AWS AgentSquad, AWS Strands, LangChain agents for autonomous training ...

Machine Learning Lead Engineer

Conley, GA · On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML ... Understand and deploy (P4+) AWS AgentSquad, AWS Strands, LangChain agents for autonomous training ...

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML ... Understand and deploy (P4+) AWS AgentSquad, AWS Strands, LangChain agents for autonomous training ...

Machine Learning Lead Engineer

Smyrna, GA · On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML ... Understand and deploy (P4+) AWS AgentSquad, AWS Strands, LangChain agents for autonomous training ...

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Aws Machine Learning information

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How much do aws machine learning jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for aws machine learning in Georgia is $59.16, according to ZipRecruiter salary data. Most workers in this role earn between $52.55 and $68.99 per hour, depending on experience, location, and employer.

What is an AWS Machine Learning?

An AWS Machine Learning job involves designing, building, and deploying machine learning models using Amazon Web Services (AWS) cloud infrastructure. Professionals in this role work with services like Amazon SageMaker, AWS Lambda, and AWS Glue to develop AI-driven applications. They optimize models for scalability, integrate them into cloud-based systems, and ensure efficient data processing. Strong knowledge of machine learning algorithms, AWS architecture, and MLOps best practices is essential for success in this role.

What does an AWS Machine Learning do?

In an AWS Machine Learning position, you'll typically design, develop, and deploy machine learning models using AWS services like SageMaker, Glue, and Lambda. Daily tasks often include data preprocessing, building and training models, and optimizing performance for production environments. You'll collaborate closely with data engineers, software developers, and business analysts to translate business needs into technical solutions. The role may also involve monitoring deployed models, managing cloud resources, and staying updated on new AWS features to ensure efficient and scalable machine learning workflows.

What are the key skills and qualifications needed for an AWS Machine Learning?

To thrive as an AWS Machine Learning professional, you need a strong understanding of machine learning principles, proficiency in programming languages like Python, and experience with AWS cloud services such as SageMaker. AWS Certified Machine Learning certification and familiarity with data pipelines, EC2, and Lambda are commonly required. Strong problem-solving, communication, and teamwork skills help you translate business requirements into technical solutions and collaborate effectively with diverse stakeholders. These skills are essential to efficiently deploy and manage scalable machine learning models that deliver business value in cloud-based environments.

Does AWS use machine learning?

AWS offers a wide range of machine learning services and tools, such as Amazon SageMaker, which enable developers and data scientists to build, train, and deploy machine learning models. As a cloud provider, AWS integrates machine learning into its infrastructure to support various applications, making it a key platform for machine learning professionals. Knowledge of AWS services and machine learning concepts is valuable for roles like AWS Machine Learning specialists.

Is AWS Machine Learning a high paying job?

AWS Machine Learning roles are generally well-paid due to the specialized skills required, such as expertise in cloud computing, data science, and machine learning frameworks. Salaries vary based on experience, location, and certifications, but they tend to be higher than average for tech roles with similar responsibilities.

What are the most commonly searched types of Aws Machine Learning jobs in Georgia?

The most popular types of Aws Machine Learning jobs in Georgia are:

What cities in Georgia are hiring for Aws Machine Learning jobs?

Cities in Georgia with the most Aws Machine Learning job openings:

Infographic showing various Aws Machine Learning job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 21% Part Time, 6% Contract, and 3% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $123,048 per year, or $59.2 per hour.

Machine Learning Engineer

KSB GIW, Inc.

Grovetown, GA • On-site

$70 - $110/hr

Other

Posted 5 days ago


Job description

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: Salary Exempt

Overview

Our R&D group is expanding its use of machine learning to solve real engineering problems, and we’re looking for a sharp, hands‑on early‑career engineer to join the team. You’ll work at the intersection of machine learning and the physical world to build AI systems that learn from real industrial data and connect with the engineering models behind them.

The role lives where machine learning meets scientific computing: surrogate modeling, data‑driven approximations of physical systems, and ML models that respect the underlying engineering principles. You’ll build the data foundation that powers this work, implement and train models that bridge physics‑based simulation with modern machine learning, and work closely with an experienced technical lead who will guide your growth across data engineering, scientific ML, and emerging AI tooling.

Responsibilities
  • Build and maintain the data foundation: ingestion, cleaning, transformation, validation, and metadata standards
  • Implement and train machine learning models using Python and modern frameworks (PyTorch)
  • Contribute to applied AI tooling that supports the broader R&D workflow
  • Develop visualization and dashboard interfaces that present results to end users
  • Run experiments, track results, and report findings against defined targets
  • Help bring prototype code to production quality: testing, documentation, version control
  • Collaborate with team members across engineering disciplines
Qualifications
  • Education: Bachelor’s degree required; master’s preferred in Computer Science, Engineering, Applied Math, Physics, or a related field
  • Experience: 1–3 years of professional or substantial project experience in machine learning, data engineering, or scientific computing
  • Skills / Competencies:
    • Solid Python skills with hands‑on experience using core libraries: Machine learning (PyTorch, scikit‑learn), Data (NumPy, pandas), Scientific computing (SciPy, Matplotlib)
    • Foundational understanding of scientific computing: numerical methods, simulation concepts, or modeling of physical systems
    • Foundational understanding of neural networks, model training, and optimization
    • Experience with version control (Git) and working in a Linux environment
    • Strong written and verbal communication skills
    • Collaborative, coachable attitude
  • Preferred:
    • Experience building and maintaining data pipelines, metadata schemas, and data quality frameworks
    • Exposure to scientific / physics‑informed machine learning (surrogate modeling, embedding physical constraints into ML models)
    • Background in CFD, simulation, computational mechanics, or applied physics
    • Familiarity with agentic AI / LLM frameworks (LangChain, LangGraph, or similar) – enough to collaborate effectively, not lead
    • Experience with Jupyter, Docker, MLflow, or FastAPI
    • Front‑end / dashboard development experience (React)
    • Cloud compute (AWS or Azure) and GPU‑based training
    • Coursework or research projects in numerical methods, engineering, or applied science
Physical Requirements

Primarily desk‑type duty.

KSB Group is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

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