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Engineer / Lead Engineer, Ai & Data Engineering

2 weeks ago

Singapore Home Team Science and Technology Agency (HTX) Full time

**What the role is**

LI-ZL1

**What you will be working on**
- Ensure timely delivery of projects within the committed schedule and budget ensuring project issues are timely resolved or escalated to management for attention.
- Provide regular update to HTX management on the project progress highlighting project milestones, issues and track project expenditure.
- Effectively engage and manage all relevant stakeholders to deliver system.
- Identify, manage project risks and implications to the project and to recommend mitigating measures
- Manage contractual and payment matters affecting the projects and ensure that systems are operating according to service level agreements
- Understand the various prevailing policies and security guidelines and to ensure the system and processes are designed to comply with these policies and guidelines
- Ensure proper integration and testing of all hardware and software components so the system is delivered according to contractual requirements.
- Work with external agencies and/or Home Team Departments (HTDs) to bring in the necessary data (which can be, for example, sensory data and images) through proper technical interface agreements.
- Build data ingesting and processing pipelines to collect, clean, harmonise, merge and consolidate data sources to be used for analysis, machine learning and visualisation purposes
- Ensure data quality
- Collaborate with various teams to understand needs to build scalable and data-driven products and assist with data-related technical issues.
- Ability to simplify ideas, present and engage stake holders and senior management.
- Keep abreast of technological advances in Big Data Technologies, database designs & architecture and government policies & recommendations, etc.

**What we are looking for**
- Tertiary qualification in computer science, electrical engineering, information systems, data science, mathematics, statistics, or other quantitative/ analytical fields. Applicants with postgraduate qualifications and/or more than 5 years of experience working in the relevant technology domains will be considered for senior positions.
- Good project management skills
- Strong understanding in one or more of the following areas:

- Proficiency in the following technologies:

- Big Data/ Container Technologies (e.g: Hadoop, Spark, Elasticsearch, Docker, Kubernetes)
- Cloud Technologies (e.g: AWS, Google Cloud, Microsoft Azure)
- Machine Learning and Artificial intelligence
- Computer Vision and Video Analytics
- Proficient in ML/AI scripting languages (Python, R), data query languages such as SQL, Painless for Elasticsearch.

He / She has
- good critical thinking, data analysis and problem-solving skills
- good written and verbal communication skills
- good interpersonal and stakeholder management skills
- ability to work under tight timelines

All new appointees will be appointed on a two-year contract in the first instance.