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Data Analyst / AI and ML Deployment Specialist x 3 (30K-50K)

Job ref no. WL
Job level
Work experience
Education Bachelor Degree
Location Hong Kong Island
Employment type Full Time
Benifits
Industry Information Technology
Job function Information Technology (IT)
Post on 2025-07-25

Data Analyst / Data Scientist

Responsibilities:

  • Play a vital role in helping customers adopt and validate cutting-edge data science solutions at the group level, ensuring successful implementation across different local markets!

  • Ensure the perfect technical fit, conduct in-depth model evaluations, and be a key driver in preparing the solutions for deployment-readiness!



AI / ML Deployment Specialist 

Responsibilities:

  • Take the lead in transitioning machine learning models from development to real-world business applications, ensuring they perform at their peak and integrate smoothly into existing systems and infrastructure!

  • Collaborate closely with business users, developers, infrastructure teams, and external partners to create machine learning models that hit the mark for business requirements and performance targets.

  • Design and implement cutting-edge ML inference solutions to ensure models run efficiently on live data and deliver actionable output in real-time.

  • Prepare clear, concise technical documents and reports to communicate progress and results.

  • Stay on top of your game by participating in project meetings, tracking progress, and ensuring follow-up actions are executed flawlessly.


 ML Engineer 

 Responsibilities:

  • Empower customers to seamlessly adapt and deploy group-level ML solutions across business units, running smoothly on cloud platforms.

  • Transform R&D code into production-grade pipelines, ensuring top-notch CI/CD compliance, and setting up APIs that deliver results.

  • Work hand-in-hand with infrastructure teams to ensure the operational readiness of solutions, setting up everything for success!

Data Analyst / Data Scientist

Requirements:

  • Bachelor’s degree in Business, IT, or a related field.

  • At least 4 years of hands-on experience as a Data Scientist.

  • Expert-level skills in conducting exploratory data analysis, identifying unique market patterns, and uncovering those essential business insights.

  • Proven track record of adapting and fine-tuning predictive or recommendation models (e.g., LightGBM, collaborative filtering) for localized, high-impact performance.

  • Proficient in evaluating model performance using both offline metrics and post-deployment KPIs, with an ability to detect drift and misalignment quickly.

  • Mastery in Python and SQL, with hands-on experience using Spark (PySpark or Scala) for distributed data processing.

  • Ability to translate business objectives into clear technical model criteria, and interpret model results in commercial terms to drive results.

  • Collaborative spirit! You’ll work alongside ML Engineers to ensure scalable and production-grade deployments.

  • Retail, customer analytics, or marketing-related data science experience is a huge plus!

  • Strong communication skills in both English and Chinese, both written and spoken.



AI / ML Deployment Specialist

Requirements:

  • Degree in Computer Science, Data Science, or a related field.

  • At least 6 years of IT experience, with 2+ years in AI model deployment/performance tuning (specializing in text analytics) and delivering complex data integration projects.

  • Deep knowledge of supervised machine learning algorithms, especially BERT LLM and LightGBM Random Forest models.

  • Expert-level skills in Python programming using essential libraries like NumPy, Pandas, Scikit-learn, PyTorch. Bonus if you're familiar with the ONNX framework for model deployment and comfortable with FLASK API development!

  • Excellent problem-solving abilities with a passion for tackling complex challenges.

  • Strong communication and presentation skills – able to explain technical concepts in a way that resonates with both technical and non-technical audiences.

  • Experience designing and implementing web applications using Java, Spring Boot, Spring Data/JPA, and Oracle databases is a major plus!

  • Fluent in both English and Chinese, written and spoken, for smooth communication across teams.

 

 ML Engineer 


Requirements:

  • Bachelor’s degree in Business, Information Technology, or a relevant field.

  • 4+ years of hands-on experience in Machine Learning and a passion for solving tough tech challenges.

  • Proven experience deploying ML models in cloud environments, including containerization (e.g., Docker) and orchestration frameworks.

  • Skilled in building and customizing ML pipelines, adapting existing codebases and templates for specific business unit needs.

  • Solid knowledge of CI/CD practices and MLOps workflows (e.g., GitHub, Cloud Build, model registries), to keep everything flowing smoothly.

  • End-to-end ML pipeline mastery – from data ingestion, preprocessing, model serving, to detailed logging.

  • Expertise in API deployment with Flask or FastAPI, and experience in containerizing and scaling model services for maximum impact.

  • Strong command over Python, writing modular, testable, and production-grade code, following best practices for software engineering.

  • Familiarity with relational and NoSQL databases, with knowledge of vector databases (e.g., FAISS, Pinecone, Chroma) being a strong plus.

  • Troubleshooting guru – able to debug and solve issues across data, code, infrastructure, and runtime layers.

  • Experience with distributed data processing tools (e.g., Spark) and leveraging cloud-native services.

  • Collaborative by nature and always results-driven, you’ll work seamlessly with Data Scientists, QA Engineers, and Product Managers to push the project forward.

  • Fluent in both English and Chinese, with excellent communication skills to bridge teams and deliver clear solutions.

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