Description
You will drive innovation in heavy engineering stress analysis using AI, ML, and Generative AI. Your work optimizes design, simulation, and predictive analytics processes.
Responsibilities
- Design, train, and implement ML and Gen AI models to improve structural analysis and simulation efficiency.
- Integrate Generative AI to automate engineering workflows, optimize design iterations, and enhance predictive accuracy.
- Validate AI/ML predictions using FEA tools (ANSYS, Hypermesh) to ensure reliable structural performance assessments.
- Build data pipelines to process large engineering datasets and extract actionable insights for model improvement.
- Collaborate with engineering, R&D, and data science teams to integrate AI solutions into existing workflows.
Required Skills
- 5+ years of experience in AI/ML.
- Proficiency in FEA tools: ANSYS, ABAQUS, Optistruct, and Hypermesh.
- Strong background in stress analysis and heavy engineering design principles.
- Experience developing data pipelines for large-scale engineering datasets.
- Ability to validate AI predictions against physical simulation data.
- Strong documentation and reporting skills for stakeholder reviews.
- Any Graduate degree.
Preferred Skills
- Experience deploying ML and Gen AI models in production environments.
- Familiarity with cloud-based AI/ML services (AWS, Azure, Google Cloud).
- Knowledge of data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).