Data, Cloud
2 days ago
Add expected salary to your profile for insights About the Opportunities We are supporting a major global consulting firm on large-scale digital transformation initiatives across aviation and banking. As the organisation expands its data and AI capabilities, we are hiring three engineers across data engineering, AI/ML, and cloud-based analytics. These roles are offered as 12-month rolling contracts , with high likelihood of extensions or permanent opportunities depending on project success. Apply once — we will match you to the best-fit role. Open Positions 1. Developer – PySpark (Banking) Budget: HKD 26,000-32,000/month Responsibilities Develop, maintain, and optimise data pipelines using PySpark and related tools. Perform ETL tasks to integrate information from multiple data sources. Drive data quality improvements, performance tuning, and workflow automation. Participate in documentation, testing, and code reviews. Collaborate with cross-functional teams to support data analytics initiatives. Requirements 1–3+ years’ experience in Python with strong understanding of data structures and libraries (e.g., Pandas). Hands‑on experience with Apache Spark, RDDs, DataFrames, and distributed processing. Strong SQL knowledge for querying and transformation. Able to analyse datasets and derive actionable insights. Banking industry experience is an advantage. Budget: HKD 25,000-32,000/month Data Engineer – Backend Budget: HKD 30,000-40,000/month Responsibilities Write and maintain software and scripts for data processing and system integration. Translate system requirements into functional code and reusable modules. Monitor system performance and proactively resolve technical issues. Prepare reports and documentation for internal stakeholders. Support team members with troubleshooting and enhancements. Requirements Proficient in Python, Apache Spark, and Unix shell scripting. Strong analytical, documentation, and communication skills. Able to work independently and manage multiple assignments. 1–3 years of relevant data engineering or backend development experience. Experience with research, testing methodologies, and business systems preferred. AI/ML Engineer Responsibilities Build and optimise AI/ML models across NLP, RAG workflows, and computer vision. Develop autonomous agent workflows (MCP or similar frameworks). Integrate AI capabilities into mobile and web applications using Python. Conduct performance tuning, testing, and model validation. Document technical specifications, participate in reviews, and support deployment. Work closely with engineering teams to embed AI within enterprise systems. Requirements Bachelor’s/Master’s degree in Computer Science, Data Science, or related fields. 1–5+ years’ experience in machine learning engineering or AI development. Hands‑on expertise with RAG pipelines, Azure AI services, and Python scripting. Familiarity with containerised deployments (OpenShift, Kubernetes, or Docker). Strong understanding of multi-step reasoning, embeddings, and ML experimentation. Able to communicate complex AI concepts to non-technical stakeholders. Join high-impact transformation projects across aviation and banking. Work with modern data stacks, cloud ecosystems, and emerging AI frameworks. Strong potential for contract renewal or permanent conversion. Collaborative, technical environment with ongoing learning opportunities. Join high-impact transformation projects across aviation and banking. #J-18808-Ljbffr
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