AI/ML Engineer

Responsibilities:

• Train and evaluate ML/DL models for classification, regression, or computer vision tasks.
• Prepare and process structured and unstructured datasets (design files, simulations, time-series, sensors).
• Prototype solutions such as anomaly detection, surrogate modeling , or recommendation systems.
• Automate workflows using Python and common ML libraries.
• Collaborate with senior engineers to integrate ML into larger systems and tools.
• Learn and support advanced areas like reinforcement learning, optimization, and generative design.
• Document experiments, findings, and best practices.

Requirements:

• Bachelor degree in Computer Science, Data Science, or related field.
• 2 to 3 years of experience in AI/ML development.
• Proficiency in Python with exposure to ML/DL frameworks ( PyTorch , TensorFlow, scikit-learn).
• Strong foundation in ML concepts: data prep, feature engineering, model evaluation.
• Familiarity with cloud-based ML services (AWS, Azure, GCP).
• Exposure to reinforcement learning, optimization, or physics-informed ML.
• Experience with handling engineering/simulation datasets.
• Knowledge of MLOps practices (basic CI/CD for ML).
• Curiosity to learn advanced AI integration and cross-platform workflows.