IT AI/ML Engineer

As an AI/ML Engineer, you will be a key member of a versatile team focusing on both algorithm development and platform implementation for TSMC’s R&D, Fab, Business, IT, and Security functions to improve productivity and work quality. The role involves developing AI/ML solutions, implementing scalable platforms to support AI productionization, and maintaining the lifecycle of machine learning models.

Job Responsibilities

Common Responsibilities

1. Collaborate with cross-functional teams of data scientists, ML engineers, and software developers.
2. Drive the complete AI solution development stages from data collection, exploration, and feature engineering to model evaluation and error analysis.
3. Perform model lifecycle management to ensure the validity of models in production.
4. Exercise sound judgment in determining if business problems can be addressed through AI/ML and communicate results effectively to domain users.
5. Operate and maintain scalable, highly available AI platforms with continuous measurement and quality improvement to meet SLO/SLAs.

Differentiated Responsibilities

1. AI/ML Solution Development

(1) Develop AI/ML algorithms that optimize manufacturing processes, improving productivity and work quality.
(2) Explain AI/ML models to internal customers and conduct error analysis.

2. AI Platform Development

(1) Design and implement full tech stack solutions, including data-related technologies and AI platforms.
(2) Develop tools, automation, and microservices to extend platform capabilities.
(3) Manage container-based workloads and process high volumes of data in environments like Kubernetes.

Additional information for the job:

Job Location: Hsinchu Site, Taipei Office (Experienced only)
On-call needs: On-call 1 week every 3 months

The complete interview process includes:

1. Manager interview
2. Hackerrank test
3. On-site personality and English test(which could be replaced if you have script of officially English test)
4. HR interview
5. Second manager interview (Optional assessment)
6. Technical review (Optional assessment)

Job Qualifications

Required Qualifications:

1. Bachelor’s degree or above in relevant fields (e.g., Computer Science, Math, Information Engineering, Industry Engineering, Statistics).
2. Programming experience in Python, SAS, or MATLAB.
3. Communication and collaboration skills with proactive problem-solving abilities.

Preferred Qualifications:

1. Knowledge of machine learning and deep learning frameworks or libraries.
2. Familiarity with ML lifecycle, MLOps, DevOps, SDLC methodologies, and CI/CD pipelines.
3. Experience in software development using general-purpose programming languages (e.g., Java, Python), Web Services (RESTful, SOAP), and SQL.
4. Experience managing containerized environments like Kubernetes.

Personal Attributes:

1. Critical thinker, detail-oriented, and high aptitude.
2. Self-driven, motivated, and eager to learn new technologies quickly.
3. A good team player with strong interpersonal skills.