Data Scientist - Gen AI 30-38K
Summary
Build and fine-tune LLMs and RAG pipelines to deliver data-driven insights for business services, using Python, NumPy, and Microsoft Fabric.
About Our Client
The hiring organization is a small-sized company operating within the business services industry. They are focused on innovation and technology, offering a collaborative environment to support professional growth.
Job Description
- Partner with business stakeholders to understand objectives and translate them into data-driven solutions.
- Identify, collect, and analyze relevant data from multiple digital and physical sources.
- Generate actionable insights using machine learning and advanced analytics techniques.
- Prepare datasets through annotation, segmentation, and preprocessing for model training and fine-tuning.
- Evaluate market-available LLM and machine learning models and recommend suitable options.
- Support the design and implementation of RAG-based data pipelines for AI use cases.
- Collaborate with cross-functional teams to ensure insights are aligned with business goals.
The Successful Applicant
- Minimum 3 years of industry experience as a Data Scientist.
- Proven ability to deliver business insights using machine learning techniques.
- Strong hands-on experience with Python, NumPy, and data science toolkits.
- Practical experience applying LLMs to business problems, including fine-tuning strategies.
- Familiar with data preparation best practices and model training workflows.
- Experience with Microsoft Fabric, Data Lake, or related data platforms.
- Exposure to advanced data management approaches such as RAG pipelines.
- Confident communicator in both Cantonese and English within a business environment.
What's on Offer
- Competitive monthly salary and benefits package.
- Exposure to cutting-edge technology and data science practices in the business services industry.
- Collaborative and supportive work environment in a small-sized company.
- Potential for career growth and professional development opportunities.
If you are ready to make a significant impact as a Data Scientist in the business services industry, we encourage you to apply today!