
Data Scientist (Tech MNC/ SQL / Python/ LLM / UP8.3K)
Salary undisclosed
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Data Scientist
A famous Tech MNC
The Opportunity
- Adecco is partnering our client, a famous Tech MNC
- We are looking for a Data Scientist
- The role will start out as a contract
- Candidates who are immediately available/ able to start work within short notice will be preferred
The Talent
- Education in relevant field
- Over 2 years of relevant work experience in data science or a related field
- Proficiency in programming languages - SQL, Python
- Strong background in LLMs and their applications
- Tech/eCommerce industry experience will be a plus
Job Description
- Design and deploy LLM-based applications with a focus on reliability, efficiency and flexibility
- Fine tune LLMs using new training data to improve performance
- Collaborate with different teams to identify and explore new opportunities for LLM applications.
- Stay up-to-date with advancements in LLMs and ML technologies and apply this knowledge to enhance the solution.
Next Step
- Prepare your updated resume (please include your current salary package with full breakdown such as base, incentives, annual wage supplement, etc.) and expected package
- Send your resume to [email protected]
- All shortlisted candidates will be contacted
Liu XinYang
EA Licence Number: 91C2918
Personnel Registration Number: R1988872
Data Scientist
A famous Tech MNC
The Opportunity
- Adecco is partnering our client, a famous Tech MNC
- We are looking for a Data Scientist
- The role will start out as a contract
- Candidates who are immediately available/ able to start work within short notice will be preferred
The Talent
- Education in relevant field
- Over 2 years of relevant work experience in data science or a related field
- Proficiency in programming languages - SQL, Python
- Strong background in LLMs and their applications
- Tech/eCommerce industry experience will be a plus
Job Description
- Design and deploy LLM-based applications with a focus on reliability, efficiency and flexibility
- Fine tune LLMs using new training data to improve performance
- Collaborate with different teams to identify and explore new opportunities for LLM applications.
- Stay up-to-date with advancements in LLMs and ML technologies and apply this knowledge to enhance the solution.
Next Step
- Prepare your updated resume (please include your current salary package with full breakdown such as base, incentives, annual wage supplement, etc.) and expected package
- Send your resume to [email protected]
- All shortlisted candidates will be contacted
Liu XinYang
EA Licence Number: 91C2918
Personnel Registration Number: R1988872