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(1) Junior SA, (2) Developer - Pyspark, (3) AI Developer

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Onsite

(1) Junior SA, (2) Developer - Pyspark, (3) AI Developer

Leadership Solutions Limited

(1) Junior SA, (2) Developer - Pyspark, (3) AI Developer

Skills

SQL QueriesMongoDBReactNodePythonJavapandasSpring BootMachine LearningAIKubernetesNLP / Natural Language ProcessingPySparkAzure

2 months ago

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Important information


Contract type:

Permanent

Salary:

HK$336,000 – HK$384,000 / year

Location:

Hong Kong

Work mode:

Onsite

Published on:

24 August 2026

What they need


My client is looking for 1 candidate for Developer Pyspak, Banking (HK28000-32000), 1 candidate for Junior SA. 1 candidate for AI Developer.

(1) Requirement for Junior SA, airline (Max HK32000/month)

Commercial client project is preferred

  • (React + Java Springboot) / (React + Node JS)

  • mongoDB

  • Technical Solution Design

  • with Team Lead

  • 2 years+

(2) Requirement for Developer - Pyspark, banking (Max HK32000/m)

  • 1-3 years’ experience in Python, including data structures, algorithms, and libraries for data manipulation (e.g., Pandas).

  • Good understanding of Apache Spark, its architecture, and components (RDDs, DataFrames, Datasets).

  • Strong knowledge of SQL for data querying and manipulation.

  • Experience in ETL (Extract, Transform, Load) processes using PySpark.

  • Good command of both spoken and written English & Cantonese. Ability to speak Putonghua is an advantage

(3) Reguirement for AI Engineer, airline (HK26000/m)

  • Target Azure AI Stack specialists / LangChain specialists / Agentic AI engineers

  • Avoid candidates doing basic chatbot or simple AI use cases

  • Skip LLM fine-tuning profiles nor RAG experience

  • Building /Engineering AI systems

AI & ML Development: Building and maintaining machine learning models for NLP and computer vision.

Retrieval-Augmented Generation (RAG): Expertise in designing and optimizing RAG pipelines using Azure AI Search or similar tools.

Agentic AI Workflows: Implementing autonomous agents with multi-step reasoning and tool integration.

Model Context Protocol (MCP): Understanding and prototyping interoperability concepts.

Performance Optimization: A/B testing, tuning, and monitoring AI systems in production.

Containerized Deployment: Experience with OpenShift or Kubernetes for orchestration.

Python Programming: Scripting, automation, and model development.

Interested parties, please send in your resume with expected salary and notice period, and indicate which job you are applying.

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