AI Scientist / Engineer – Agentic AI & Modeling/Simulation
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- directions_car Singapore
- workFull-time
Lead the development and integration of Agentic AI to accelerate product development through advanced Modeling & Simulation. Build AI systems and ML surrogate models that automate simulation workflows, generate large-scale synthetic data, deliver real-time predictions, and enable inverse design. Responsibilities Architect end-to-end automated Modeling & Simulation workflows using agentic AI Develop frameworks for synthetic dataset generation (parametric sweeps, DOE) and ML experimentation Build ML surrogate models for instant simulation predictions Develop inverse design solutions from customer specifications Reduce workflow time from days to minutes with ≥90% validated accuracy Present technical results to engineering and leadership teams Requirements MUST HAVE strong foundation in physics-based Modeling & Simulation MUST HAVE expert-level CFD & FEM experience (Ansys, COMSOL, Abaqus, and/or OpenFOAM) MUST HAVE hands-on experience designing agentic AI or complex AI-driven workflows MUST HAVE experience developing ML surrogate models for simulation MUST HAVE proficiency in Python and/or C/C++ for simulation APIs MUST HAVE experience validating AI/ML results against experimental data Strong knowledge of ML techniques (regression, CNNs, GNNs) Preferred: MS/PhD in relevant engineering or computational disciplines; experience in inverse design and multiphysics/multiphase systems. All Successful candidates can expect a very competitive remuneration package and a comprehensive range of benefits. Please email your resume in a detailed MS Word format to joyce@peopleprofilers.com stating 1) Current Drawn 2) Expecting Salary 3) Date Available 4) Reason to Leave each job: We regret that only shortlisted candidates will be notified Joyce Koh Ai Leng People Profilers Pte Ltd 20 Cecil St, #08-09, PLUS Building, Singapore 049705 Tel: 6950 9737 www.peopleprofilers.com EA License Number: 02C4944 EA Personnel Reg nos R1110618 Job ID:
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Job ID: 10484239 / Ref: 13db92b4cc5d3de87a9a636399ff4ac2