Data Science/AI Developer__SA2121

Investigate hybrid modelling approaches combining traditional simulation techniques (CFD, FEA, and multiphysics) with AI/ML. Explore and develop AI agents integrated with simulation tools such as Simcenter STAR-CCM+ and Simcenter Hyper. Mesh. Design and evaluate multi-agent systems for orchestrating complex engineering tasks and supporting decision-making.

Prototype, benchmark, and validate emerging AI approaches against real-world industrial engineering problems. Develop agentic AI workflows involving agent design, tool usage, and orchestration. Collaborate with simulation experts, software developers, and AI specialists across business teams. Prepare and present technical reports, presentations, and internal demonstrations for engineering and leadership audiences.

Requirements

3+ years of experience in Data Science, Machine Learning, Applied Mathematics, or a closely related field. Strong hands-on programming experience in Python . Practical experience building solutions using Large Language Models ( LLMs ) and agentic AI frameworks, including agent design, tool use, and orchestration beyond basic API integration.

Strong understanding of machine learning fundamentals and the ability to critically evaluate AI solutions for effectiveness, reliability, and practical applicability. Excellent analytical, problem-solving, and experimentation skills. Ability to work independently in ambiguous, exploratory environments with limited specifications.

Strong written and verbal communication skills, with the ability to explain technical concepts and present findings to engineering teams and leadership. Good-to-Have Skills: Exposure to engineering simulation techniques such as CFD , FEA , and multiphysics, including meshing, solving, and post-processing workflows. Familiarity with Simcenter STAR-CCM+, Simcenter Hyper.

Mesh, or comparable commercial simulation tools. Knowledge of knowledge graphs, multi-agent orchestration, and AI-driven engineering systems. Experience with workflow automation tools, MLOps practices, or experiment-tracking platforms.