An innovative water technology company is seeking a hands-on

Process Modeling Engineer to develop physics-based models and agile simulators that support AI-driven optimization of water and industrial treatment processes.

Responsibilities

- Build mechanistic process models and dynamic simulators in Python.

- Calibrate and validate models against real-world operating data.

- Develop physics-informed and hybrid models for process optimization.

- Perform parameter estimation, uncertainty quantification, and model validation.

- Collaborate with process engineers and product teams to deliver production-ready solutions.

Requirements

- MS in Chemical Engineering, Mechanical Engineering, Applied Mathematics, Physics, or a related field; BS candidates with 3+ years of relevant experience considered.





- 3+ years of Python scientific computing experience, including NumPy and SciPy.

- Strong foundation in applied mathematics, numerical methods, and optimization.

- Experience building and validating simulation models against real-world data.

- Strong analytical skills and ability to work independently in a distributed team.

Nice to Have

- Experience with Pyomo, IDAES, WaterTAP, CasADi, or similar modeling tools.

- Background in membrane processes, water or wastewater treatment, industrial process control, or physics-informed machine learning.

📌 Process Model Engineer (India)
🏢 Metric Geo
📍 India