Business Analyst acting as a critical link between business and technical teams at Vodafone. Involves gathering requirements and ensuring technical specifications in telecom projects.
About the role
- Lead Data Scientist for Sahabat-AI, developing multilingual LLM tailored for Indonesia. Collaborate on AI innovation and deployment at GoTo Group in Singapore.
Responsibilities
- Work with large-scale multilingual corpora, including text, audio, and image modalities
- Build high-quality datasets for both continual pretraining, post-training (SFT, RLHF, DPO), and benchmark evaluation
- Contribute to the training and scaling of multilingual LLMs – from continual pretraining to supervised fine-tuning and alignment.
- Implement state-of-the-art methods and research for efficient and scalable operations.
- Implement and improve safety alignment and guardrail systems to ensure responsible and culturally appropriate model behaviour.
- Collaborate closely with business/product engineers to deploy production-grade LLM-powered solutions.
- Stay current with advancements in AI technologies. Frontier models, training methodologies, etc
Requirements
- 7+ years of experience in deep learning, NLP, and LLM
- Understanding in computer vision and voice will be a plus point
- Proficient in data preprocessing, model training, evaluation, and optimisation.
- Practical experience in applying deep learning to solve real business problems, with models successfully deployed and used in production environments.
- Proficient with Python and deep learning frameworks such as PyTorch or Tensorflow.
- Experience with cloud platforms like Alibaba Cloud, GCP or AWS.
- Strong communication skills to understand business needs and effectively convey analytical solutions.
- Ability to write clear and concise technical documentation.
- A Master’s or PhD in Computer Science, Data Science, AI, or a related field.
Benefits
- Health insurance
- Flexible work arrangements
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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