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Executive Full Stack Machine Learning Engineer Jobs in Aiken, SC

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 ...

Varsity Tutors

Machine Learning Tutor

Augusta, GA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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All JobsFull Stack Machine Learning Engineer JobsExecutive Full Stack Machine Learning Engineer JobsExecutive Full Stack Machine Learning Engineer Jobs in Aiken, SC

Executive Full Stack Machine Learning Engineer information

See Aiken, SC salary details

$37.9K

$114.7K

$162.2K

How much do executive full stack machine learning engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for executive full stack machine learning engineer in Aiken, SC is $114,725.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $134,500.00 per year, depending on experience, location, and employer.

What is the difference between Executive Full Stack Machine Learning Engineer vs Data Scientist?

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Aiken, SC?

The most popular types of Full Stack Machine Learning Engineer jobs in Aiken, SC are:

What are popular job titles related to Executive Full Stack Machine Learning Engineer jobs in Aiken, SC?

For Executive Full Stack Machine Learning Engineer jobs in Aiken, SC, the most frequently searched job titles are:

What job categories do people searching Executive Full Stack Machine Learning Engineer jobs in Aiken, SC look for?

The top searched job categories for Executive Full Stack Machine Learning Engineer jobs in Aiken, SC are:

Executive Full Stack Machine Learning Engineer jobs near you
Infographic showing various Executive Full Stack Machine Learning Engineer job openings in Aiken, SC as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $114,725 per year, or $55.2 per hour.

Machine Learning Engineer

KSB GIW, Inc.

Grovetown, GA • On-site

$70 - $110/hr

Other

Posted 8 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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