工作描述
16 天前
Our Client
An AI / LLM solution provider, startup company
We are seeking talented individuals to join our client’s new data team. We are hiring for the following positions:
• Data Director (8+ years working exp. required)
• Senior Data Engineer (4+ years working exp. required)
• Data Engineer (2+ years working exp. required)
Key Responsibilities
• Develop and implement data scraping solutions to collect large-scale datasets from the internet for training and optimizing foundational models.
• Conduct extensive data cleaning and preprocessing to ensure the quality and suitability of external data for large model training.
• Design and maintain automated data pipelines to facilitate continuous data updates and ensure data integrity.
• Collaborate closely with the algorithm team to understand requirements and ensure effective data transmission and utilization.
• Monitor and evaluate data processing workflows to improve efficiency and reliability in data handling.
Job Requirements
• Proficiency in data cleaning and data crawling techniques.
• Experience with large language models (LLMs), machine learning (ML), or natural language processing (NLP).
• Strong programming skills in languages such as Python, or similar.
• Familiarity with data warehousing, data storage solutions and data processing frameworks
• Excellent problem-solving skills and attention to detail.
• Ability to collaborate effectively in a team environment.
Languages
• Fluent in Cantonese, English and Mandarin
Interested parties please email your RESUME by clicking "Apply Now" for consideration. For job enquiries, please call 2114 2625 for more details.
Please mention your consultant's name on your application if you have already registered with Springer.
All information provided by candidates will be used solely for recruitment purposes only in accordance with the employer’s personal data policies
All applications applied through our system will be delivered directly to the advertiser and privacy of personal data of the applicant will be ensured with security.
An AI / LLM solution provider, startup company
We are seeking talented individuals to join our client’s new data team. We are hiring for the following positions:
• Data Director (8+ years working exp. required)
• Senior Data Engineer (4+ years working exp. required)
• Data Engineer (2+ years working exp. required)
Key Responsibilities
• Develop and implement data scraping solutions to collect large-scale datasets from the internet for training and optimizing foundational models.
• Conduct extensive data cleaning and preprocessing to ensure the quality and suitability of external data for large model training.
• Design and maintain automated data pipelines to facilitate continuous data updates and ensure data integrity.
• Collaborate closely with the algorithm team to understand requirements and ensure effective data transmission and utilization.
• Monitor and evaluate data processing workflows to improve efficiency and reliability in data handling.
Job Requirements
• Proficiency in data cleaning and data crawling techniques.
• Experience with large language models (LLMs), machine learning (ML), or natural language processing (NLP).
• Strong programming skills in languages such as Python, or similar.
• Familiarity with data warehousing, data storage solutions and data processing frameworks
• Excellent problem-solving skills and attention to detail.
• Ability to collaborate effectively in a team environment.
Languages
• Fluent in Cantonese, English and Mandarin
Interested parties please email your RESUME by clicking "Apply Now" for consideration. For job enquiries, please call 2114 2625 for more details.
Please mention your consultant's name on your application if you have already registered with Springer.
All information provided by candidates will be used solely for recruitment purposes only in accordance with the employer’s personal data policies
All applications applied through our system will be delivered directly to the advertiser and privacy of personal data of the applicant will be ensured with security.
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