About the Role

We are seeking an AI/ML Engineer with 2–3 years of experience to contribute to the development of intelligent solutions in design, simulation, and workflow automation. This role offers the opportunity to work on proof-of-concepts, model training, and system integration, while gaining exposure to advanced techniques such as reinforcement learning, optimization, and generative design.

Roles & Responsibilities

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

Qualifications Required

Education: Bachelor’s degree in Computer Science, Data Science, or related field.
Experience: 2–3 years of hands-on experience in AI/ML development.
Technical Skills:
- Proficiency in Python with ML/DL frameworks such as PyTorch, TensorFlow, scikit-learn.
- Strong foundation in data preparation, feature engineering, and model evaluation.
- Familiarity with cloud-based ML services (AWS, Azure, GCP).
- Exposure to reinforcement learning, optimization, or physics-informed ML.
- Experience handling engineering/simulation datasets.
- Basic knowledge of MLOps practices, including CI/CD for ML pipelines.
Mindset: Curiosity, adaptability, and willingness to learn advanced AI integration and cross-platform workflows.

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