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).

Key Skills

Education

Any Graduate