- Major logistic Multinational Firm
- Key AI Role in Singapore
- Employee-Centric Environment
Our client is one of the major player n the logistic industry in Singapore. Now, it is looking to expand its Data and Digital team in Singapore. This person will play a crucial role in developing and enhancing the firm's AI-driven products and services in the capacity of Data Scientist.
Requirements:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Linguistics, or a related field.
- At least 5 years of proven experience in Data Science in area of computer vision and/or NLP or related areas, with a strong portfolio of projects demonstrating expertise in data engineering and model training/finetuning. Individual with exposure to chatbot or related technology development will be highly desirable.
- Solid understanding of machine learning algorithms, language modeling, and their applications.
- Solid hands-on experience with programming languages such as Python, and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face).
- Familiarity with popular vector database platforms like Pinecone, Faiss, or Milvus would be beneficial.
- Experience with cloud computing platforms and services, and the ability to deploy and manage large models in a cloud environment.
- Experience with data pipelines and data processing tools on AWS (e.g.AWS Lambda).
- Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation excellent communication and collaboration skills, with the ability to work effectively in a team environment.
- You MUST BEbased in Singapore currently and has relevant work experience in Singapore.
NOTE: Please do attach your latest resume in your submission. We will not be able to process your application without your resume attachment. Please rest assured that your interest will be treated with strictest confidentiality.
Chua Keow Por|Reg. #:R1105253|Hudson Global Resources (Singapore) Pte Ltd| EA Licence #:18S9265
Company information
EA No. 23C2056
Registration No. 199501238M
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