Description

Design, develop, and train deep learning models for simulation and predictive analytics applications.

This role is on-site.

Responsibilities

• Implement machine learning algorithms for data-driven modeling, optimization, and forecasting.
• Develop surrogate and reduced order models to accelerate complex simulations.
• Fine-tune and optimize neural networks for performance, scalability, and accuracy.
• Process simulation datasets and integrate outputs with AI/ML models for hybrid approaches.
• Validate simulation models against experimental or real-world data and develop automated pipelines.

Required Skills

• 5+ years of experience in AI/ML engineering.
• Strong background in deep learning and neural network optimization.
• Experience with predictive analytics and data-driven modeling.
• Proficiency in building automated pipelines for data ingestion and preprocessing.
• Knowledge of simulation data processing and feature engineering.
• Bachelor's degree in Computer Science, Engineering, or related field.

Key Skills

Education

Bachelor's degree