Lead Data Science (LLM & NLP, AI & ML)

Job Responsibilities

  • Deliver high quality Large Language Model based information science solutions and AI/ML infrastructure to support new product development (NPD) in TE 
  • Develop or adopt innovative AI techniques (using in-house coding tools or commercial software) and develop machine learning algorithms to deliver search and synthesis of internal and external data.  
  • Collaborate with multi-disciplinary specialists in data science, electronics, material science, mechanics, additive manufacturing, and other fields.
  • Work with local and global TE sites, and external customers/vendors, to address urgent or strategic needs.
  • Partner with Singapore Research Institutes and universities to develop advanced AI techniques.
  • Develop and execute TE’s roadmap and strategy for AI, specifically in the area of LLM. 
  • Enhance the awareness across TE of the AI capabilities of the Singapore center and promote the democratization of AI across the TE engineering community.

Job Requirements: 

  • Degree in Engineering (or related) with 8+ years relevant working/research experience in software development.
  • A deep knowledge of data science and machine learning (a second degree in data science is a plus).
  • Experience in R&D with a proven track record of technical leadership and execution.
  • Strong multitasking, prioritization, and ability to delegate where appropriate and keep resources aligned with critical priorities.
  • Strong verbal and written communication, and presentation skills with interpersonal skills to work with multiple level and multi-discipline stakeholders.
  • Experience of training, evaluating and deploying Large Language Models (LLM) 
  • Hands-on experience of data science and machine learning algorithms involving multiple data types
  • Strong SW development skills including:
    • Python, Pytorch, Tensorflow
    • Rapid PoC development
    • Web App Development Frameworks such as Java, .Net etc
    • Windows App Dev eg: C++
    • Cloud compute AWS / Azure 
    • Rest API development / use
    • Hugging Face LLMs
    • CUDA / GPU computing.

Also beneficial:  

  • Familiarity with some or all of the following: Additive Manufacturing, material development, electronic subsystem development, RF, signal integrity, product design.
  • Knowledge of TE’s business, products, material and manufacturing processes 
  • General background knowledge of material properties (mechanical, electric, thermal, etc.) including polymers and metals.
  • Familiarity with Agile development techniques.

Tyco Electronics Singapore Ptd Ltd

Company Website
https://www.te.com/

Job type

Full time

Job location

Hybrid

Closing Date
February 29, 2024

Alternatively, you can send an email to joey.choo@te.com


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