ASML is seeking a Deep Learning and MLOps engineer to create advanced solutions for e-beam inspection and metrology, aiming to help customers achieve optimal manufacturing performance.
Requirements
- Proficiency in DL algorithms (CNN and VLM-based) for computer vision applications
- Experience in MLOps technologies (e.g., MLflow, PyTorch, Kubernetes)
- Expertise in deep learning algorithms
- Practical experience with MLOps
- Proficient in Python
- Hands-on experience with software design, development, testing, and integration
- Familiarity with requirements analysis, feasibility studies, and system engineering guidelines
Responsibilities
- Research new deep learning (DL) algorithms for computer vision
- Productize the algorithms for performance, speed, and robustness
- Develop infrastructure to support the deployment of the algorithms at customer sites
- Conduct research and feasibility studies to support engineering projects and validate proposed solutions.
- Develop and refine design requirements, documenting specifications and ensuring traceability throughout the project lifecycle.
- Prepare high-level and detailed designs following System Engineering Guidelines, considering factors such as manufacturing, logistics, cost, and market constraints.
- Review product designs, contribute to testing processes, execute qualification tests, and maintain accurate technical documentation.
Other
- Planning is primarily self-directed, with limited guidance from a Lead Engineer.
- Collaborate with team members to estimate project efforts, solve problems, and keep technical expertise up to date while adhering to safety policies.
- Ability to work independently while collaborating effectively with team members and suppliers
- Effective written documentation and verbal communication
- Consistent adherence to safety and environmental guidelines
