About the role
AI summarisedGain hands-on experience in monitoring, maintaining, fine-tuning, and optimizing deployed AI models while contributing to new use case development and data pipeline enhancement at a global leader in semiconductor solutions.
IDMOnsiteBE
Key Responsibilities
- Establish and maintain monitoring metrics for deployed AI models to ensure accuracy, reliability, and stability in production.
- Identify performance deviations, investigate root causes, and implement corrective actions such as re-training or fine-tuning.
- Support ideation, data exploration, and prototyping for new AI use cases aligned with business needs.
- Refine datasets and improve data preprocessing pipelines to ensure robust and repeatable model performance.
- Benchmark models against KPIs and validate outputs to ensure adherence to business requirements.
- Collaborate with cross-functional teams to sustain current AI applications and align new developments with business needs.
- Explore and propose emerging tools and techniques to improve model performance and development efficiency.
Requirements
- On track to attaining Masters/Bachelors in Business Analyst, Computer Science, or Data Science.
- Proficiency in Python.
- Basic to intermediate knowledge of machine learning fundamentals (e.g., supervised learning, cross-validation).
- Working knowledge of deep learning frameworks: TensorFlow and/or PyTorch.
- Basic knowledge of SQL for data extraction and analysis.
- Familiarity with Git or similar version control systems.