KSB is a leading supplier of pumps valves and related service. Our reliable high-efficiency products are used in applications wherever fluids need to be transported or shut off covering everything from building servicesindustry and water transport to waste water treatment power plant processes and mining. Founded in 1871 in Frankenthal Germany the company has a presence on all continents with its own sales and marketing organisations and manufacturing facilities. Around the globe more than 190 service centres and around 3500 service specialists are on hand to provide local inspection servicing maintenance and repair services under the KSB SupremeServ brand. Innovative technology that is the fruit of KSBs research and development activities forms the basis for the companys success.

People. Passion. Performance. It is these three success factors that make KSB the company it is today.

At KSB we recognise that it is people who actually make the difference the people we employ and the people we serve. This is why we are committed to equal rights and treatment worldwide and never lose sight of the aspects ecology and sustainability when manufacturing our products.

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 Status: Salary Exempt

OVERVIEW:

Our R&D group is expanding its use of machine learning to solve real engineering problems and were looking for a sharp hands-on early-career engineer to join the team.

Youll 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.

Youll 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:Bachelors degree required; masters preferred in Computer Science Engineering Applied Math Physics or a related field

• Experience:13 years of professional or substantial project experience in machine learning data engineering or scientific computing

SKILLS / COMPETENCIES

Required:

• 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 this is essential to the role
• 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.

This policy applies to all employment practices within our organization including hiring recruiting promotion termination layoff recall leave of absence compensation benefits training and apprenticeship. KSB makes hiring decisions based solely on qualifications merit and business needs at the time.

We value employees who take the initiative and are committed to our company; Employees who take responsibility and for whom business success is the focus of their return we offer fair framework conditions for collective wages and pensions flexible working time models individual training opportunities and the best career prospects.