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Job Location drjobs

Johor Bahru - Malaysia

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Job Description

About the company:

Our client the largest public bus provider in Johor was established with the aim of delivering an efficient and sustainable public transport system for the community.

Job Responsibilities:

  • Finetune and serve LLMs to help build bestinclass solutions on Generative AI
  • Stay uptodate with recent advancements in large language models applying novel techniques and methodologies to improve our models.
  • Be curious with new industry learnings startups utilizing LLMs in novel ways and other ways the real world is utilizing LLMs.
  • Conduct experiments and benchmarking to assess the performance of various model architectures and optimize hyper parameters.
  • Apply discover and research techniques to optimize existing LLM training and serving as well as improving the model quality.
  • Build and maintain production ready ML pipelines
  • Build and maintain a productionready platform to run models in parallel and A/B test
  • Prepare and preprocess data in collaboration with the data engineering team

Requirements:

  • Bachelors degree or equivalent experience in Computer Science Mathematics Machine Learning Data science or related field
  • 5 years of experience in Machine learning related field including prior lead experience
  • Handson experience in developing models in optimizing model training and tuning and in deploying Large Language Models such as GPT LLaMA BERT or Transformerbased architectures with strong knowledge in tokenization and embedding.
  • Knowledge on Information Retrieval Machine Comprehension Question Answering/Conversational AI Reinforcement Learning and Inference
  • Proficiency in Python or an equivalent language (e.g. C or Java)
  • At least 1 or 2 years of experience with Docker and/or cloud deployment technologies

Remuneration:
Rm5000 to Rm7000

Consultant incharge:
Ken Ng

Remote Work :

No

Employment Type

Full Time

Company Industry

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