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Unternehmen
Taiwan Semiconductor Manufacturing Company Limited
Ort
Taiwan
Karrierebereich
Unternehmensplanung
Art des Jobs
Ingenieur / Verwaltung
Art der Beschäftigung
Regulär
Veröffentlicht
31.12.2024
Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. In 2023, the company served 528 customers with 11,895 products for high performance computing, smartphones, IoT, automotive, and consumer electronics, and is the world’s largest provider of logic ICs with annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and its ESMC subsidiary plans to begin construction on a fab in Germany in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade.

Overview of Role:

As a ML/AI Engineer in Corporate Planning Organization, you will have the unique opportunity to collaborate with BI users, AI researchers, and infrastructure teams to craft comprehensive solutions and services that address the complex challenges of business planning and operations.

Our exciting projects span areas such as predictive analytics, time series forecasting, extracting insights from vast, multi-modal datasets and building advanced AI agents, using a blend of classical techniques and cutting-edge ML/DL/LLM models. You'll also be involved in building advanced AI agents using a blend of classical techniques and cutting-edge ML/DL/LLM models. Your work will range from developing ETL/ELT processes for data handling, experimenting and constructing models, evaluating their performance, to delivering robust, scalable production systems. We are committed to fostering a diverse and open-minded team dedicated to creating high-impact applications.
Zuständigkeiten
1. Collaborate with business users to define and scope challenges.
2. Research and evaluate methodologies and technical solutions for identified challenges.
3. Develop sophisticated data pipelines to extract insights from both structured and unstructured data using AI-driven analytics.
4. Implement and experiment with ML/AI algorithms to address business challenges.
5. Build both prototypes and high-quality products iteratively to deliver impactful services.
Qualifikationen
Required Qualifications

1. Master’s degree or above in computer science, information systems, information science, or a related field.
2. Proficiency in SQL, Python, Git, and data science related framework and packages.
3. Good knowledge of statistics, ML or AI algorithm.
4. Good communication and problem-solving skills.

Preferred Qualifications

1. Experience in deploying ML/AI models and MLOps. 
2. Experience in LLM application development.
3. Experience in microservice and Web application development. 
4. Experience working with NoSQL databases, including Elasticsearch, MongoDB, graph and vector databases.
5. In-depth knowledge of machine learning and deep learning algorithms and LLM model architectures.
6. Familiarity with finance, accounting, and market analysis.