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Currently hiring for 4 jobs
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Data Scientist Intern
Centre for Strategic Infocomm Technologies
Singapore, Singapore
Duration: 2-4 Months, > 4 Months
Internship Type: Undergraduate, Pre-University

As a Data Scientist, you will have to understand the project objective and requirements, conduct technology scan and proof-of-concept (if required). You will work closely with a mentor to deliver a system meeting the project requirements.

Broad Deliverables

    • Conduct technology scan and proof-of-concept (if required).
    • Perform data pre-processing and feature engineering, build and develop machine learning models.
    • Present the system to management and users.

Possible Projects*

    • Statistics and machine learning
    • Data visualization
    • Human language technologies
    • Graph algorithms/analytics

Prerequisites/Skills Required

    • Prior knowledge in data mining or machine learning techniques (e.g. classification, anomaly detection and recommendation systems)
    • Proficient in programming language such as Python (i.e. familiar with Python-based machine learning libraries such as scikit-learn, numpy/scipy and pandas)
In your application, please submit the following documents in a single PDF file for 'Resume/CV':
1. Resume
2. All Education Certificates to-date (from secondary to tertiary education)
- GCE 'O'/'N' Levels, NITEC
- Prelim/GCE 'A' Levels, IB/Diploma
- Latest university transcript from Year 1 (for current undergraduates)

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Internship
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Staff Machine Learning Engineer
Centre for Strategic Infocomm Technologies
Singapore, Singapore
CSIT develops products to advance the national security interests of Singapore. Our products are used in a wide range of operations, including, but not limited to, Counter-Terrorism and Computer Network Defence. We are looking for talented machine learning engineers to design and build cutting-edge machine learning systems that support the processing of large volumes of data at scale.
 
Role
You will combine your deep understanding of machine learning techniques with your keen proficiency in system design and software engineering to operationalise, scale, and monitor ML solutions that act on a variety of multi-modal data types. You will work with data scientists and software engineers to explore a diverse range of techniques and build state-of-the-art solutions to solve complex problems found nowhere else. The work you do will transform the way information is processed on an organisational scale and deliver substantive value for our mission.
 
As a staff ML Engineer, you will be a subject matter expert for the areas under your charge, and you will be responsible for the technical standards and skills of the team. You will also be expected to work effectively with other cross-functional teams to add value and deliver outcomes at an organisational level.

Responsibilities

    • Set and uphold standards of code and documentation quality within the team
    • Drive the development and advancement of technical skills for junior team members
    • Mentor junior team members on best practices in engineering and system design
    • Collaborate with cross-functional teams to identify high-impact opportunities for applying machine learning and data analytics to solve key business issues
    • Engineer, deploy, optimise, and maintain ML solutions that contribute to the organisation's strategic objectives
    • Keep current with developments in academia and industry

Requirements (Minimum Qualifications)

    • A Bachelor's degree in an engineering or ML-adjacent quantitative field (e.g ., Computer Science, Computer Engineering, Information Systems, Mathematics, Statistics, Computational Linguistics, etc.) or equivalent practical experience
    • Strong proficiency in Python, with the ability to read, write, document, and maintain code in an idiomatic way
    • Experience with using Python-based machine learning libraries (e.g ., scikit-learn, transformers, spacy, etc.) in a production environment
    • Experience with using Python-based API frameworks (e.g ., fastapi) in a production environment
    • Experience with using containerisation and container orchestration platforms (e.g ., Docker, Kubernetes) in a production environment
    • Deep understanding of a particular domain and working knowledge of a broader range of ML concepts and techniques, e.g., in:
    • Natural language processing or computational linguistics
    • Speech processing 
    • Computer vision 
    • Information retrieval 
    • Data augmentation 
    • Anomaly and drift detection
    • Strong written and verbal communication skills

Nice-to-haves

    • Experience in leading and managing technical teams
    • A Master's degree or PhD in a relevant field and/or 5 or more years of relevant work experience
    • Prior work in multiple data science/ML domains
    • Familiarity with other general purpose programming languages (e.g ., Java, JavaScript, C/C++, etc.) 
    • Experience in working with big data technologies such as Hadoop, Spark and Kafka
As CSIT is an agency under the Ministry of Defence (Singapore), only Singapore Citizens will be considered.

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Full-time
Mid Level
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Staff Data Scientist
Centre for Strategic Infocomm Technologies
Singapore, Singapore
CSIT develops products to advance the national security interests of Singapore. Our products are used in a wide range of operations, including, but not limited to, Counter-terrorism and Computer Network Defence. We are looking for talented data scientists to build mission critical data-driven products that identify, analyse and disrupt threats.

Role
You will be part of a dynamic team of data specialists responsible for tackling complex problems in national security through the use of machine learning and data analytics. 
 
Your work will involve a variety of rich multimodal datasets and high velocity data streams to develop and implement algorithms that drive key business decisions. You will work with machine learning engineers and software engineers to implement data analytics solutions and transform the way information is processed on an organisational scale. 
 
Our ideal team member will have strong quantitative and computational skills, and writes high quality, extensible and maintainable code. As a staff data scientist, you will also need to effectively engage stakeholders of varying technical abilities.

Responsibilities

    • Apply statistical and machine learning techniques on large-scale datasets to address business needs and solve complex operational problems
    • Identify high-impact opportunities for applying machine learning and data analytics to solve key business issues
    • Research on machine learning technologies (i.e. speech recognition, machine translation and/or other natural language processing technologies) to support information processing
    • Collaborate closely with business users to extract actionable insights from data and develop analytics solution to meet their needs
    • Set and uphold standards in code and documentation quality within the team
    • Drive the development and advancement of technical skills of data scientists
    • Mentor junior team members on best practices in data science and machine learning
    • Keep current with developments in academia and industry

Requirements (Minimum Qualifications)

    • Bachelor's degree in a quantitative field (e.g. Computer Science, Economics, Mathematics, Physics etc.) or equivalent practical experience
    • Experience in applying machine learning techniques (such as classification, anomaly detection and recommendation systems) on non-trivial datasets
    • Deep understanding of a particular domain (e.g. natural language processing, recommendation systems or data visualisation) with working knowledge of a broader range of machine learning and data mining concepts
    • Proficiency in Python and familiarity with Python-based machine learning libraries

Nice-to-haves

    • Experience in leading and managing data science teams
    • Experience in working with big data technologies such as Hadoop, Spark and Kafka
    • Strong written and verbal communication skills
As CSIT is an agency under the Ministry of Defence (Singapore), only Singapore Citizens will be considered.

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Full-time
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Senior Cloud & Infra Systems Engineer/ Cloud & Infra Systems Engineer
Centre for Strategic Infocomm Technologies
Singapore, Singapore
CSIT develops products to advance the national security interests of Singapore. Our products are used in a wide range of operations, including but not limited to, Counter-terrorism and Cyber Network Defence.
 
We are looking for talented Systems Engineers to build mission-critical systems that support our teams in identifying, analysing and disrupting threats.

Role
You will be part of a dynamic team responsible for exploring and adopting latest infra technologies to modernise CSIT’s infra services and solutions, mainly operating in an on-premise closed networks environment.
 
You must have a good understanding of IT architecture, cloud infrastructure, platform solutions design as well as system integration.
 
Our ideal team member will keep abreast of the rapidly evolving technology landscape, and be able to identify potential technologies for exploration and implementation.

Job Scope

    • Plan, design, implement and maintain the physical and virtual infrastructure systems as well as enterprise storage systems to ensure security posture and high availability.
    • Lead in problem resolution, provide technical assessment and analyse root causes of system issues
    • Explore and implement new technologies to improve the performance and effectiveness of the infrastructure and systems
    • Plan and manage system lifecycle activities to ensure smooth system operation.
    • Collaborate and work with various stakeholders (infra, application and security) for consultation, planning and implementation of new infrastructure technologies 

Job Requirements

    • Professional Qualifications
    • Degree in Computer Science, Information Technology or Electrical Engineering

    • Skills & Knowledge
    • At least 4 years of working experience in systems administration, enterprise storage management and data protection management
    • Experienced in managing enterprise infrastructure including enterprise directory service management, virtualisation management, PKI and data protection services
    • Windows Server and Linux operating system experience is preferred
    • Familiar with IT infrastructure operations, including scripting, automation, performance tuning and system optimization
    • Applicants must be Singapore Citizens

    • Nice-to-haves
    • Certifications:
    • VMware Certified Technical Associate [DCV] and above
    • Red Hat Certified System Administrator and above
    • Microsoft Azure Administrator Associate and above
    • Experienced in managing cloud technologies (e.g. VMWare Cloud Foundation, vRealize Suite, vSAN)
Full-time
Senior