Job Duties

Support AI infrastructure to help stakeholders identify business processes suitable for enhancement or automation using AI/ML.
Assist stakeholders in conducting feasibility studies to evaluate the viability of AI solutions (e.g., predictive analytics, computer vision, NLP) within business constraints.
Collaborate closely with stakeholders to manage and maintain the full lifecycle of data pipelines.
Perform root cause analysis on AI infrastructure to resolve model failures or unexpected outputs.
Develop and optimize prompt engineering for Large Language Models (e.g., GPT, Claude, local Qwen).
Implement and maintain Retrieval-Augmented Generation (RAG) pipelines, ensuring accurate data context and minimizing hallucination rates.
Conduct benchmarking of AI infrastructure to evaluate performance and efficiency.
Provide support for AI-related operations, project implementation, local LLM deployment, capacity planning, and troubleshooting.
Manage upgrades of AI frameworks and Python packages.
Configure and troubleshoot Nvidia hardware and drivers, including CUDA.
Integrate AI hardware with inference frameworks and applications.

Requirements & Experience

Proficiency in Linux environments and Python programming.
Strong knowledge of Python libraries (Pandas, NumPy, Scikit-learn) and R.
Advanced SQL skills, with experience writing complex queries and working with relational databases (Snowflake, BigQuery, PostgreSQL).
Familiarity with BI tools such as Tableau and Power BI.
Experience with MLOps tools (MLflow, Weights & Biases) and cloud platforms (AWS SageMaker, Azure ML, GCP Vertex AI).
Knowledge of LLM stacks, including LangChain and vector databases (e.g., PGVector).
Experience with data science workflows such as Airflow implementation and pipeline configuration.
Hands-on experience with MLOps pipelines and CI/CD for machine learning.
Familiarity with Docker and Kubernetes.
Experience implementing and maintaining local AI inference using open-source models (e.g., Qwen3.5).

Education

Bachelor’s degree in Information Technology or equivalent relevant qualifications.
AI-related certifications are preferred.

Skills / Competencies

Strong communication skills in English and Cantonese/Mandarin.
•Excellent listening skills and customer service orientation.
Ability to work collaboratively as part of a team to achieve common goals.
Skilled in logging, troubleshooting, and resolving issues to successful completion.
• Ability to present technical concepts in user-friendly language to non-technical personnel and end users.

Winson Group Macau 永燊集團

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