LLM Research Scientist at CUMMINGS INC
Hong Kong, Hong Kong Island, Hong Kong S.A.R. -
Full Time


Start Date

Immediate

Expiry Date

16 Jun, 26

Salary

0.0

Posted On

18 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

LLM, Applied AI Research, Transformer, RAG, Agents, Tool Use, Reasoning, Alignment, Knowledge Injection, Domain Adaptation, SFT, IFT, Prompt Engineering, Python, PyTorch, HuggingFace

Industry

Motor Vehicle Manufacturing

Description
GPP Database Link [https://cummins365.sharepoint.com/sites/CS38534/]  Job Summary: Solves complex analytical problems using quantitative approaches through a combination of analytical, mathematical and technical skills. Researches, designs, implements and validates complex algorithms to analyze diverse sources of data to achieve targeted outcomes by leveraging complex statistical and predictive modeling concepts.   Key Responsibilities: Participates in projects to support key objectives and business goals through the use of data science methodology. Leverages data science methodology to solve complex business problems. Creates multiple algorithms using complex statistical methodologies through the use of statistical programming languages and tools. Partners with domain experts to verify model capabilities. Partners with Solution Architect to enable appropriate data flow/data model, development using appropriate tools/technology, rapid prototyping and informs the design of analytical products. Partners with less experienced employees on data science tools and methodologies. Clearly articulates results, methodologies and learnings to stakeholder and peer group. Continuous development and advancement of the team through knowledge sharing and collaboration. Cummins is an equal opportunity employer. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.

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Responsibilities
The role involves driving advanced research and designing next-generation domain Large Language Models (LLMs) tailored for Cummins' engineering and industrial scenarios. Key activities include investigating state-of-the-art LLM technologies and architecting domain-grounded LLM solutions for various enterprise workflows.
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