Employment type: 1-year contract (Renewable)
Location: Ang Mo Kio
Working Days/ Hours: Mon-Fri 8:30am to 6pm
Eligibility: Singaporean ONLY

Job Overview:

We are looking for a Technical Specialist with AI competencies to support the development and implementation of digital learning applications, including Learning Management Systems (LMS) and other learning technology platforms.

This role involves designing, integrating, and maintaining intelligent learning solutions that enhance user experience, personalize learning pathways, and improve platform capabilities through AI technologies. The ideal candidate will combine strong software engineering skills with knowledge of AI tools and technologies applied to learning environments.

Key Responsibilities:

Learning Application Development

• Develop, customize, and maintain learning applications such as Learning Management Systems (LMS) and other digital learning platforms.

• Support system implementation, configuration, and deployment of learning technologies.

• Ensure applications are scalable, secure, and aligned with system architecture standards.

AI Integration & Development

• Design and integrate AI-powered features into learning platforms, such as recommendation engines, chatbots, or adaptive learning tools.

• Work with AI frameworks and APIs to enhance learning analytics, learner engagement, and personalization.

• Explore and implement AI-driven solutions to improve content discovery, learner support, and performance tracking.

System Integration

• Integrate LMS platforms with other enterprise systems (e.g., HR systems, authentication systems, analytics platforms) using APIs and middleware.

• Ensure compatibility with e-learning standards such as SCORM, xAPI, or LTI.

Testing & Optimization

• Conduct system testing, debugging, and performance optimization for both application and AI components.

• Monitor platform performance and identify opportunities for improvement.

Collaboration

• Work closely with instructional designers, project managers, and product teams to translate learning requirements into technical solutions.

• Collaborate with data engineers and AI specialists to implement machine learning models and intelligent features.

Documentation & Support

• Maintain technical documentation for system architecture, integrations, and AI components.

• Provide technical troubleshooting and support during system implementation and deployment.

Skills & Experience Required

• Technical Skills: Experience in software development using Python, JavaScript, C#, or Java. Knowledge of HTML5, CSS, REST APIs, microservices architecture, and Learning Management Systems (LMS) or learning technology platforms. Hands-on experience with relational databases such as Microsoft SQL Server, MySQL, or PostgreSQL.
• AI & Data Competencies: Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience integrating AI APIs/services including NLP, recommendation engines, or chatbot frameworks. Understanding of learning analytics, data processing, and AI-driven personalization.
• Systems & Integration: Experience integrating enterprise systems through APIs or middleware. Understanding of cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with SCORM, xAPI, LTI, or other digital learning standards is advantageous.
• Soft Skills: Strong analytical, problem-solving, and communication skills, with the ability to translate technical concepts into practical solutions and work effectively in cross-functional teams.
• Systems Administration: Knowledge of user access management, data backup processes, and security protocols in cloud-based environments.
• Project Collaboration: Experience working with both technical and non-technical stakeholders in collaborative project environments.
• Attention to Detail: Ability to ensure configurations, customizations, and integrations meet required specifications and standards.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field
• Certifications: Relevant certifications in AI, cloud platforms, or software engineering are an advantage. (e.g., Machine Learning, AWS, Microsoft, LMS-specific certifications).
• Experience with Cloud-Based Systems: Experience with cloud platforms like AWS, Azure, or Google Cloud, particularly in the context of learning platforms
• Experience with SCORM/ xAPI: Familiarity with e-learning standards like SCORM, xAPI, and Tin Can API for tracking and reporting learning activities.
• Familiarity with Data Security: Knowledge of data security practices, especially as they apply to sensitive learning and employee data.

Develop Lifting Plans: Establish critical rigging math, calculations, and lifting sequences for complex or tandem lifts.

Assess Environmental Conditions: Evaluate ground bearing capacity, wind speed limits, and nearby overhead power lines.

Select Machinery: Choose the correct crane models, boom configurations, and certified lifting gears (slings, shackles, spreader beams) based on load attributes.

Coordinate the Team: Instruct and define clear boundaries for the Lifting Supervisor, Signalman, and Crane Operator.

Enforce Safety Boundaries: Oversee the implementation of physical exclusion zones to prevent personnel from walking under suspended loads.

Work location: The Vertical Business Suite, Bangsar South., Malaysia

Working time: Mon - Fri 9:00 am - 6:00 pm, work at the office 100%

• Design, develop, and maintain scalable mobile applications for both smartphones and tablets, ensuring a seamless user experience across devices.
• Build high-performance, reliable, and scalable applications by applying best practices in mobile architecture, state management, networking, caching, and offline support.
• Collaborate with product, design, and engineering teams to deliver high-quality features that align with business objectives.
• Integrate analytics and monitoring solutions to measure user behaviour, application performance, and key business metrics.
• Own the end-to-end application release process, including build, testing, deployment, and publication to app stores.
• Ensure software quality through Test-Driven Development (TDD), automated testing, code reviews, and continuous improvement of engineering standards.

• 3–5 years of experience in mobile or full-stack application development
• Strong proficiency in Flutter and Dart
• Hands-on experience with Firebase services such as:
• Authentication
• Firestore / Realtime Database
• Cloud Functions
• Firebase Messaging
• Analytics / Crashlytics
• Experience integrating AI tools into applications
• Strong understanding of software engineering best practices and clean architecture
• Experience with Test-Driven Development (TDD)
• Knowledge of REST APIs and third-party integrations
• Experience publishing and maintaining applications on:
• Apple App Store
• Google Play Store
• Strong awareness of:
• Mobile application security
• Data privacy
• Secure authentication
• Strong focus on user experience (UX) and user-friendly design principles
• Familiarity with Git and CI/CD workflows

We offer an attractive remuneration package, a fast-paced and exciting working environment, and provide challenging opportunities for life-long learning and career development.

Interested candidates are invited to send your comprehensive resume with current and expected salary package via this job ad. Please note that only shortlisted candidates will be notified.

Please consult our Candidate Privacy Notice to know more about how we collect, use, transfer and disclose our candidates' information: 

By submitting your resume and information, you understand, acknowledge, and consent that your personal data will be processed in accordance with our Candidate Privacy Notice. You consent to the collection, use, transfer and disclosure of your personal data as well as to receive email and/or other electronic messaging communication from 2C2P.

Job Responsibilities:

• Responsible for Full-chip Physical Verification Sign-off in area of (DRC, LVS, ANT, ERC, ESD, PERC) for tape-out.
• Co-work with Place & Route team to resolve full-chip layout integration issues.
• Coordinates with internal IP owners on IP related issues.
• Coordinates with Manufacturing Team on DRC related issues.
• Provide automation solutions to improve efficiency in tape-out flow.
• Report on tapeout PV issues.

Requirements:

• Bachelor/master’s degree in electrical/Electronic Engineering/Computer Science
• Familiar with IC Design front-to-backend flow
• Preferably well-versed in Calibre, ICV, Assura, Star-RCXT
• Proficient in script programming, such as Python, TCL, Perl, or C-shell
• Proficient in UNIX (Linux) platforms
• Strong communication skills, problem solving and analytical skills.
• Experience with 3D IC design (e.g., CoWoS, SoIC, EMIB) is a plus.

Location: One North, Singapore

Get to Know the Team

The Metrics Platform team is a team within Grab's Data Technology organization, with members across Singapore, Indonesia, Thailand, Vietnam and Malaysia. We build the central platform for metrics that enables Grabbers across the company to define, serve, discover, and consume trusted business and product metrics at scale. Our platform is an important foundational layer for Grab's AI-powered data ecosystem. By making metrics reliable, reusable, discoverable, and served across teams, we help power better analytics, experimentation, automation, and AI-assisted data workflows across Grab.

Get to Know the Role

The Senior Data Engineer role in the Metrics Platform team is a hybrid data and software engineering role. You will be an important member of the team that designs, builds, and operates Grab's metrics platform across metric serving, ingestion, metadata, query generation, platform APIs and several cross platform integrations. You will be responsible from technical design and implementation to rollout and production operations. You will contribute hands-on while guiding engineering quality through design reviews, operational improvements, and collaboration with partner teams.

You will report to the Senior Data Engineering Manager and will be based onsite at our office in Petaling Jaya.

The Critical Tasks You Will Perform

• You will build platform capabilities that help teams model, publish, discover, and consume trusted metrics and data products across Grab.
• You will develop and improve platform services, APIs, metadata systems, query generation, and tooling used by metrics publishers and consumers.
• You will collaborate with engineering, analytics, and data science teams to onboard new use cases and integrate their systems with the metrics platform.
• You will improve the developer and data practitioner experience by building self-serve workflows, automation, documentation, and operational tooling.
• You will operate and optimize the core metrics serving infrastructure, including Apache Pinot, ingestion systems, and related cloud services.
• You will investigate and resolve platform reliability, performance, and correctness issues across the request, query, metadata, and serving layers.
• You will provide technical guidance to engineers and partner teams on platform design, data modeling, integration patterns, and operational best practices.
• You will use AI-powered coding, analytics, and data engineering tools responsibly to accelerate development, debugging, documentation, testing, and data investigation.

Assume a critical role in defining the future of a globally recognized firm and have a direct and significant effect in a realm tailored for top achievers in site reliability.

As a Lead Site Reliability Engineer at JPMorgan Chase within the CFS, you hold a leadership role in your team, demonstrate strong knowledge across multiple technical domains, and advise others on the technical and business issues facing them. Take lead and conduct resiliency design reviews, break up complex problems into digestible work for other engineers, act as a technical lead for medium to large-sized products, and provide advice and mentoring to other engineers.

Job Responsibilities

• Consistently models and champions site reliability culture and practices, documents and shares knowledge within your organization via internal forums and communities of practice

• Leads initiatives to improve the reliability and stability of your team’s applications and platforms using data-driven analytics to improve service levels, proactively identifying and solving technology-related bottlenecks in areas of expertise

• Drives collaboration with your team to identify comprehensive service level indicators and the stakeholder partners to establish reasonable service level objectives and error budgets with your customers

• Uses enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.

• Serves as the main point of contact during major incidents for your application and has the skills to identify and solve the issue quickly to avoid financial loss to the business

• Offers a high level of technical expertise within one or more technical domains and provides advice and mentorship to other engineers

• Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability, resiliency, and security controls.

Required qualifications, capabilities, and skills

• Bachelor’s Degree in Computer Science, Cybersecurity, Data Science, or related disciplines

• Formal training or certification on software engineering or site reliability engineering and 5+ years applied experience

• Demonstrated proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices

• Fluent in at least one programming language such as: Python, Java/Spring Boot, .Net

• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity.

• Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure outcomes align to resiliency and security expectations.

• Proficient knowledge and experience in observability such as white and black box monitoring, service level objective alerting, and telemetry collection

• Proficient with continuous integration and continuous delivery practices and tooling

• Proficient with container and container orchestration

• Experience with troubleshooting common networking technologies and issues

• Advanced knowledge of software applications and technical processes with emerging depth in one or more technical disciplines, and actively self-educates to evaluate and recommend suitable new technologies

Preferred qualifications, capabilities, and skills

• Terraform

• AWS

• Python, Ansible

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=79876b814d94abcf2c8ff8787f6d7738

ACMV Engineer (Air Conditioning and Mechanical Ventilation Engineer)

Working Days: Monday – Friday
Working Hours: 9am – 5.30pm
Salary: $ 3,800 - $ 5,000
Working Location: Eunos

Industry: Interior Design & Construction Company

Job Responsibilities:

• Design and planning of ACMV and MV systems
• Preparing and submitting tenders (Tender Costing)
• Conducting site surveys and managing the construction site (Site Management)
• Familiar with and arranging ACMV related services
• Assisting in the procurement of engineering equipment and materials (Procurement)
• Supervising on-site installation work to ensure compliance with drawings and specifications
• Assisting in testing and commissioning (T & C) Commissioning) Assisting with system troubleshooting and problem solving
   

Requirements:

• Diploma in Engineering-related experience (Mechanical, Electrical or construction services preferred)
• 2+ years of relevant work experience
• Familiarity with local regulations and standards preferred