PRIMARY RESPONSIBILITIES

• Support the AI infrastructure to enable stakeholders to identify business processes that can be enhanced or automated using AI/ML.
• Support the AI infrastructure to enable stakeholders to conduct feasibility studies to determine the viability of AI solutions (predictive analytics, computer vision, NLP) against business constraints.
• Work closely with stakeholders to ensure data pipelines lifecycle.
• Perform root cause analysis on AI infrastructure for any model failures or unexpected outputs.
• Enable prompt-engineer Large Language Models (GPT, Claude, local Qwen)
• Enable Retrieval-Augmented Generation (RAG) pipelines, ensuring data context is accurate and hallucination rates are low.
• Perform AI infrastructure benchmarking
• Act as resources for AI related operation, project implementation, local LLM deployment, capacity planning and troubleshooting.
• Handle AI related frameworks and python packages upgrade.
• Deal with configuration and troubleshooting for Nvidia hardware and relevant drivers including CUDA.
• Integrate AI hardware and inference framework plus application

EXPERIENCE

• Proficiency with Linux environment and python
• Languages: proficiency in Python (Pandas, Numpy, Scikit-learn), R. SQL: Advanced ability to write complex queries and work with relational databases (Snowflake, BigQuery, PostgreSQL).
• BI Tools: Experience with visualization tools (Tableau, Power BI).
• MLOps: Familiarity with model tracking tools (MLflow, Weights & Biases) and cloud platforms (AWS SageMaker, Azure ML, GCP Vertex AI).
• LLM Stack: Experience with LangChain or vector databases PGVector is desirable.
• Data science experience such as airflow implementation and relevant data pipeline configuration.
• Experience with MLOps pipelines and CI/CD for machine learning.
• Familiarity with Docker and Kubernetes.
• Implementation and maintenance of local AI inference making use of open source models like Qwen3.5

EDUCATION

• Bachelor’s degree in information technology or equivalent relevant qualifications
• Preferred with AI related certificates

SKILLS / COMPETENCIES

• Ability to communicate effectively in English and Cantonese/Mandarin
• Good listening skills & customer service expertise
• Ability to work as part of a team to accomplish common goals
• Log, troubleshoot, and track problems to a successful conclusion
• Ability to present ideas in user-friendly language to non-technical personnel and end users

有意應徵者可將個人簡歷、個人身份證副本、相片及相關證明證書電郵至 recruitment@winson-group.com
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