Machine Learning Engineer

KSB GIW, Inc. is hiring an early-career Machine Learning Engineer to join the R&D group in Grovetown, GA (onsite). This role applies machine learning directly to industrial engineering needs by building AI systems that learn from real data and connect with engineering models. You will help shape the data foundation, train ML models (including physics-aware approaches), and deliver visualization experiences that support end users across the engineering workflow.

What you’ll do

• Build and maintain the data foundation including ingestion, cleaning, transformation, validation, and metadata standards
• Implement and train machine learning models using Python and modern frameworks such as PyTorch
• Contribute to applied AI tooling that supports the broader R&D workflow
• Develop visualization and dashboard interfaces to present results to end users
• Run experiments, track outcomes, and report findings against defined targets
• Move prototype code toward production-quality software practices including testing, documentation, and version control
• Collaborate with engineering team members across disciplines

What you’ll bring

• Bachelor’s degree required; master’s preferred in Computer Science, Engineering, Applied Math, Physics, or a related field
• 1–3 years of professional or substantial project experience in machine learning, data engineering, or scientific computing
• Strong Python skills with hands-on experience using: PyTorch, scikit-learn, NumPy, pandas, SciPy, and Matplotlib
• Essential foundational understanding of scientific computing, including numerical methods, simulation concepts, or modeling of physical systems
• Foundational understanding of neural networks, model training, and optimization
• Experience with Git and working in a Linux environment
• Strong written and verbal communication skills
• Collaborative, coachable attitude

Helpful experience

• Experience building and maintaining data pipelines, metadata schemas, and data quality frameworks
• Exposure to scientific or physics-informed machine learning, such as surrogate modeling or embedding physical constraints into ML models
• Background in CFD, simulation, computational mechanics, or applied physics
• Familiarity with agentic AI or LLM frameworks (for effective collaboration), including LangChain or LangGraph
• Experience with Jupyter, Docker, MLflow, or FastAPI
• Front-end or dashboard development experience using React
• Cloud compute experience with AWS or Azure, including GPU-based training
• Coursework or research projects in numerical methods, engineering, or applied science

Tools you may use

Python, PyTorch, scikit-learn, NumPy, pandas, SciPy, Matplotlib, Git, Linux, Jupyter, Docker, MLflow, FastAPI, React, LangChain, LangGraph, AWS, Azure

Role details

• Salary: $80,000.00 - $120,000.00 per year
• Location: In person, Grovetown, GA, USA (onsite)
• Shift: First
• FLSA status: Salary Exempt
• Department: Engineering, Research & Development
• Reports to: Metallurgical and Materials R&D Lab Manager
• Physical requirements: Primarily desk-type duty