Total 2,248 construction engineer job vacancies in Information Technology category

Role: CloudEngineer (GCC)

KeyResponsibilities:

• Manage the day-to-day operations of Government Cloud (GCC) Microsoft Azure infrastructure, ensuring stability, performance, and security.
• Lead the implementation of Azure cloud projects from planning and design through deployment and documentation.
• Work collaboratively with application, infrastructure, and network teams to support deployments, troubleshoot issues, and align on architectural decisions.
• Design, configure, and manage Azure Virtual Networks and Subnets, enabling secure and scalable cloud environments.
• Configure and maintain Network Security Groups (NSG) to enforce traffic control policies.
• Deploy, configure, and support Azure Load Balancers (LB) for high availability and optimal performance.
• Implement and manage Web Application Firewall (WAF) policies to protect web applications from threats and vulnerabilities.
• Configure and administer Azure DNS for name resolution and service discovery.
• Set up and maintain route tables and virtual network peerings to support hybrid, multi-region, and cross-subscription architectures.
• Integrate and manage syslog solutions and maintain the Azure Log Analytics Workspace for effective monitoring, diagnostics, and auditing.
• Oversee the procurement, management, and renewal of SSL certificates related to WAF and firewall infrastructure.
• Automate infrastructure provisioning and configuration using Terraform, adhering to Infrastructure-as-Code (IaC) standards.
• Ensure adherence to security best practices, compliance standards, and organizational policies.
• Participate in incident response and root cause analysis related to Azure infrastructure.
• Continuously assess the environment for performance improvements, cost optimizations, and new service adoption opportunities.
• Develop performance and operational reports.

RequiredQualifications:

• Certified in Microsoft Azure Administrator Associate (AZ-104) is mandatory.
• Certified in Cisco Certified Networking Associate (CCNA) will be a plus.
• Bachelors Degree or Diploma in Information Technology, Computing or equivalent
• 2–3 years of experience working with Azure infrastructure in GCC 1.0 and 2.0 environment.
• Proven hands-on experience with Terraform for Azure automation.
• Strong knowledge of Azure networking, security, and monitoring tools.
• Familiarity with logging analysis and monitoring via Azure Monitor and Log Analytics.
• Good understanding of ITIL processes, including Incident, Problem, Change, and Configuration Management.

Pre-requisites

• Diploma or Bachelor’s Degree in Computer Science, Computer Engineering, or a related discipline

Key Responsibilities

• Provide support and manage deployment activities for customers’ cloud environments
• Troubleshoot issues across cloud-scale and backbone networks
• Support and maintain software-defined networking (SDN) services, including:o Azure Front Door (AFD)o Distributed Denial of Service (DDoS) protectiono Domain Name System (DNS)o ExpressRoute
• Participate in standby/on-call duties to provide after-hours support Technical

Experience:

• Minimum 2 years of relevant experience in a large-scale data center environment (for Engineer role)
• Minimum 5 years of relevant experience in a large-scale data center environment (for Senior Engineer role)
• Excellent communication skills with the ability to collaborate effectively across teams and business functions
• Strong leadership qualities; candidates with team leadership experience may be considered for a Lead role

Skill Sets

• Programming Languages: Kusto, Java, Python, Perl
• Operating Systems: Linux
• Virtual Networking: SDN, VNET, DNS, ExpressRoute, Traffic Manager, Load Balancer
• Data Formats: JSON, XML
• Certifications (Preferred): CCNP, JNCIP
• Additional Skills: Network automation and security experience

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to abegail@talentsis.com.sg for immediate processing.

Only shortlisted candidates will be notified.

Key Responsibilities

• Lead and perform end-to-end Software Development Life Cycle (SDLC) activities, including design, development, implementation, testing, deployment, maintenance, and documentation.
• Design, develop, and deliver high-quality, scalable, and secure software applications to meet business and operational requirements.
• Architect and implement robust backend systems, APIs, and microservices using modern frameworks and best practices.
• Manage the installation, configuration, customization, and deployment of enterprise applications, software services, and cloud-based platforms.
• Develop and optimize database schemas, queries, and integrations across multiple database systems.
• Ensure application performance, scalability, reliability, and security through code reviews, testing, and monitoring.
• Troubleshoot, debug, and resolve complex technical issues in development, testing, and production environments.
• Collaborate with cross-functional teams to gather, analyze, and refine user requirements and translate them into technical solutions.
• Drive and support DevOps practices, including CI/CD pipeline implementation, build and release automation, and environment management.
• Work in air-gapped or high-security environments, ensuring compliance with security and operational standards.
• Participate actively in Agile methodologies (e.g., Scrum), including sprint planning, stand-ups, and retrospectives.
• Mentor junior developers and contribute to technical leadership, best practices, and continuous improvement initiatives.

Requirements

• Minimum 6 years of relevant software development experience in enterprise or large-scale systems.
• Strong proficiency in programming languages: Java, JavaScript, SQL.
• Hands-on experience with backend frameworks such as Java Spring Boot and/or .NET / .NET Core.
• Solid experience with database technologies: MongoDB, MSSQL, Oracle (data modeling, performance tuning, query optimization).
• Experience in designing and developing RESTful APIs and microservices architectures.
• Practical knowledge of DevOps tools and collaboration platforms: GitHub, GitLab, Azure DevOps.
• Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes.
• Familiarity with cloud platforms and deployment models.
• Experience working in Linux/Unix environments and scripting (e.g., Shell scripting).
• Knowledge of message queues and streaming platforms such as RabbitMQ or Apache Kafka is an advantage.
• Exposure to Big Data technologies (e.g., Hadoop) is a plus.
• Strong understanding of secure coding practices and application security principles.
• Experience working in Agile/Scrum environments.

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to abegail@talentsis.com.sg for immediate processing.

Only shortlisted candidates will be notified.

Job Description

The Data & Analytics Engineer is responsible for designing and developing robust, scalable data pipelines, data marts and business intelligence dashboards to be used across Singapore Airlines Group.

Key Responsibilities:

•Understand business processes, applications and how data is created, stored and gathered in Singapore Airlines Group.

•Use big data tools and platforms to create and maintain data pipelines, making sure pipelines are robust, scalable, and reliable. Troubleshoot and rectify issues with data pipelines as necessary.

•Build expertise and domain knowledge on the data. Establish and own the data quality and SLA for various data flows.

•Explore, analyse, and aggregate various types of data to provide business insights to the data team stakeholders. Create compelling story and visualisation to convey these insights. Ask right and inquisitive questions of the data to deliver analytics solution to the business.

•Design, build and manage data marts to satisfy our growing data needs.

•Be part of a project team to manage and deliver project deliverables, resources and timelines.

•Any other ad-hoc duties.

•This is an individual contributor role.

•Note: You could be posted to any subsidiary in SIA Group.

Requirements

•BS degree in Data Science & Analytics, Computer Science or a related technical field.

•Possess good communications skills to understand our customers' core business objectives and build end-to-end data centric solutions to address them.

•Ability in analyzing data to identify deliverables, gaps and inconsistencies.

•Good critical thinking and problem-solving abilities.

•Ability to work independently and manage multiple task assignments.

•More than 2 years of SQL and Python experience is required.

•Experience working with AWS, GCP, and infrastructure-as-code systems. DevOps experience is a plus.

•Experience in ETL pipeline design, implementation and maintenance.

•Experience working with visualization tools (specifically Tableau would be preferred).

• Well Established Company

• Basic $4,500 – $6,500 + AWS + VB

• Working location: Upper Thomson

• Working Days: Monday - Friday

• Working Hours: 8.30am - 5.30pm

• Must have relevant steam related experience

Key Responsibilities:

• Sales & Customer Support

  • Recommend suitable products and engineering solutions based on customer needs.

  • Provide pre-sales and post-sales technical support, including troubleshooting.

  • Work closely with the sales team to deliver solutions and manage customer expectations.

  • Build strong, long-term relationships as a trusted technical advisor.

• Engineering & Technical Solutions

  • Diagnose technical issues and propose effective, practical solutions.

  • Engage with customer engineering and maintenance teams to resolve challenges.

  • Identify opportunities for improvements, cost savings, and efficiency gains.

  • Collaborate with internal teams and external suppliers to implement solutions.

• Presentations & Training

  • Deliver product demonstrations and technical presentations to customers.

  • Conduct training sessions for both internal teams and clients.

  • Support the development of technical and marketing materials.

• Project Management

  • Manage engineering projects from initiation to completion.

  • Coordinate with customers and suppliers to ensure timely and cost-effective delivery.

  • Provide alternative solutions when issues arise during execution.

  • Maintain proper project documentation.

• Supplier & Market Coordination

  • Work with suppliers/principals to obtain technical support and quotations.

  • Act as a bridge between customers and suppliers to resolve technical matters.

  • Stay updated on industry trends and identify new product opportunities.

  • Other ad hoc duties as assigned

Requirements:

• Degree/Diploma in Mechanical/Chemical Engineering or related field with 2 years of relevant experience

• Experience with steam audit / systems, boilers, valves, or piping preferred

• Knowledge of industrial processes (oil & gas, chemical, power, etc.)

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume:

• Work experiences and job responsibilities

• Current and Expected salary

• Reason for leaving

• Date of availability

• Education background

We regret that only shortlisted candidates will be contacted.

NG JYA YEE (R23119014)

EA Recruitment Pte Ltd

EA License No: 21C0492

Work where you make an impact. We are seeking a Software Engineer to join our team and be a key player in designing, developing, and maintaining scalable web applications and backend services using Java and JavaScript. You will work closely with cross-functional Agile teams in building RESTful APIs and microservices, and contribute to well-tested, high-quality software solutions.

Key Responsibilities:

• Design, develop, and maintain scalable full-stack applications using Java, JavaScript, Spring Boot, and Node.js, c++
• Build and maintain RESTful APIs and microservices.
• Develop responsive user interfaces with React.js and TypeScript.
• Work with PostgreSQL, MongoDB, and Elasticsearch databases.
• Collaborate with cross-functional Agile teams including QA, DevOps, and Product.
• Support DevOps initiatives, including CI/CD pipelines and Docker containerization.
• Ensure code quality through testing, reviews, and best practices.
• Troubleshoot performance and scalability issues across the application stack.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or related fields.
• 3 years above of professional software development experience.
• Fresh graduates will be considered for entry-level roles.
• Strong hands-on experience with Java and JavaScript, as well as in Spring Boot, Node.js, and React.js.
• Sound understanding of TypeScript and experience working with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
• Familiarity with Docker, Elasticsearch, and DevOps practices.
• Experience working in Agile/Scrum development environments.
• Understanding of system design, APIs, and microservices architecture.
• Exposure to cloud platforms (AWS, Azure, or GCP), CI/CD tools, or infrastructure-as-code is a plus.

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to bianca@talentsis.com.sg for immediate processing.

(EA Reg No: 20C0312)

Job Responsibilities:

• Manage, operate, and troubleshoot Linux/Unix and Windows server environments.
  Perform OS hardening, patching, and configuration updates according to security standards.
• Monitor system performance, capacity, and availability.
• Support core banking and enterprise applications hosted on on-premises or virtualized platforms.
• Work with global IT teams to ensure compliance with security and audit requirements.
• Participate in DR/BCP planning, testing, and implementation.
• Maintain documentation for infrastructure configurations and operational procedures.
• Assist in infrastructure architecture review and ensure alignment with overall system design and standards.

Requirements:

• Degree/Diploma in Computer Science, Information Technology, or related field.
• 3~5+ years of experience in Linux/Unix/Windows server administration.
• Hands-on experience with VMware, Hyper-V, or other virtualization technologies.
• Knowledge of shell scripting or automation tools (Bash, PowerShell, Python).
• Basic understanding of IT infrastructure architecture (OS, Network, Database, Middleware interactions).
• Experience in banking/financial sector is an advantage.
• Strong analytical and problem-solving skills.
• Proficiency in Korean is preferred.
• Willingness to travel frequently within Southeast Asia (Indonesia, Vietnam, Cambodia).

Get to know our Team

At GrabFin, we empower the people of Southeast Asia, from consumers and drivers to every-day entrepreneurs, by ensuring financial inclusion for the underserved. The team is building solutions by enabling our partners (i.e. drivers and merchants) to get access to financial services (lending and insurance) products for their everyday needs.

Get to know the Role

You will report to the Engineering Manager, Insurance, based in Indonesia and will develop the complex backend systems powering the many end-to-end user journeys across all Insurance products available in multiple Grab apps. We're looking for candidates that embody ownership, display a hunger for learning and improvement, excel in autonomy, and have the desire to go above and beyond expectations.

The Critical Tasks You Will Perform

• You will develop high-quality and scalable backend applications
• You will write clean, efficient, and maintainable code to solve challenging problems in the InsurTech domain
• You will collaborate with diverse teams to design, and ship new features
• You will participate in code reviews to maintain code quality and share knowledge
• You will participate in On-Call rotations to ensure the reliability of services

We are looking for a Software Developer with strong experience in cloud infrastructure and modern web development to build, deploy, and maintain scalable applications. This role combines software engineering and infrastructure-as-code, enabling reliable and efficient delivery of cloud-native systems.

• Working Hours: Mon-Fri
• Working Location: Punggol
• Salary Package: UP to $10,000 (basic) + AWS
• Job Type: Contract

Key Responsibilities

• Design, develop, and maintain scalable applications and backend services using JavaScript/TypeScript
• Build and manage cloud infrastructure on Amazon Web Services
• Define and provision infrastructure using Terraform
• Develop and integrate RESTful APIs and microservices
• Implement and maintain CI/CD pipelines for automated build, test, and deployment
• Collaborate with cross-functional teams to deliver high-quality solutions
• Monitor, troubleshoot, and optimize system performance and reliability
• Ensure security best practices across application and infrastructure layers
• Participate in code reviews and enforce engineering standards

Requirements

• At least 2 years of experience in software development
• Strong proficiency in JavaScript or TypeScript
• Hands-on experience with Node.js or similar backend frameworks
• Solid experience working with Amazon Web Services (e.g., EC2, S3, Lambda, RDS)
• Practical experience with Terraform for infrastructure provisioning
• Experience with Git, CI/CD pipelines, and DevOps practices
• Familiarity with databases (SQL or NoSQL)
• Strong problem-solving and debugging skills

Nice to Have

• Experience with containerization (Docker, Kubernetes)
• Exposure to serverless architectures
• Familiarity with frontend frameworks (e.g., React)
• Understanding of microservices architecture
• Experience with monitoring and logging tools

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.
• Delete personal data as it is not required at this application stage.

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Elane Yap Theng Yu- R1989397

ScienTec Consulting Pte Ltd - 11C5781

About the Role

Our client is seeking a skilled Data Engineer to design and build scalable data infrastructure supporting critical public sector initiatives. This role involves working across large and complex datasets, including geospatial data, to enable data-driven decision-making and digital product development.

The ideal candidate combines strong technical expertise with the ability to understand business needs, ensuring data solutions are robust, scalable, and aligned with organisational goals.

Key Responsibilities

• Design, develop, and maintain data platforms and architectures, including data warehouses, data lakes, and operational data stores
• Build and optimise data pipelines (batch and real-time) to support large-scale data processing and analytics
• Perform data extraction, transformation, and cleansing (ETL/ELT) to ensure high-quality, reliable datasets
• Integrate and consolidate data from multiple sources, ensuring scalability, security, and compliance
• Develop and maintain backend APIs and data services to support applications and downstream use cases
• Collaborate with Product Managers, Data Architects, Analysts, and Engineers to deliver data-driven products
• Implement data governance, quality controls, and monitoring frameworks
• Operate in an Agile environment, contributing to CI/CD practices, code reviews, and continuous improvement
• Participate in onsite engagements where required

GIS / Spatial Data Focus

• Build and maintain scalable geospatial data pipelines for ingestion, transformation, storage, and validation across multiple sources
• Work with GIS platforms and tools such as ArcGIS Server and PostGIS
• Utilise Python spatial libraries (e.g. GeoPandas, Shapely) for geospatial data processing
• Implement data cataloguing, metadata management, lineage tracking, and security controls for geospatial datasets
• Design and optimise geospatial data models, schemas, and storage solutions for performance and scalability
• Ensure compliance with geospatial standards (e.g. ISO 19115/19139, OGC) and governance requirements
• Provide reliable data services and APIs to support analytics and front-end visualisations
• Support development or integration of map services and geospatial visualisation components

Requirements

• Proven experience in data engineering or data platform development, preferably in large-scale or complex environments
• Strong proficiency in data pipeline development, data modelling, and database technologies
• Experience working with distributed data processing frameworks and modern data stacks
• Solid understanding of data governance, quality, and security practices
• Ability to work across both technical and business stakeholders
• Comfortable balancing big-picture architecture with hands-on implementation
• Strong alignment with public sector mission and impact-driven work

Preferred:

• Experience with GIS / geospatial data systems and platforms
• Familiarity with ArcGIS Server, PostGIS, GeoPandas, Shapely
• Exposure to data lakes, cloud platforms, or modern data ecosystems
• Experience working on government or public sector projects

All information will be kept strictly confidential. Only shortlisted candidates will be contacted.

TALENT PULSE PTE. LTD.
EA License No: 25S2956

Job Responsibilities

• Lead and manage the technical/engineering team to achieve project targets, ensuring works are delivered safely, on time, and within budget.
• Foster open and effective communication with staff, workers, subcontractors, and stakeholders to support smooth project execution.
• Review and ensure all technical documentation submitted by subcontractors complies with project specifications, regulatory requirements, and local codes.
• Plan and implement daily works in accordance with project scope, schedule, and budget.
• Coordinate and liaise with clients, consultants, authorities, and internal stakeholders on all project-related matters.
• Collaborate closely with the project management team, including Construction Manager, WHSO ,and QS Manager, to resolve engineering and operational issues and ensure project success in line with client expectations.
• Ensure all works are carried out in compliance with technical requirements, quality standards, and safety regulations.
• Mentor and develop junior engineers, supporting talent growth and capability building within the organization.
• Support tender activities by contributing technical expertise in the preparation and review of design and construction methodologies for building projects, as part of the tender team for new project pursuits.

Requirements

• Bachelor’s degree in architectural/ building / civil structural engineering/ construction management or related
• Minimum 15 years of experience in the construction industry, with a strong track record in planning and engineering management for large-scale developments.
• Demonstrated capability in project leadership, including resource planning, cost control, scheduling, and risk management.
• Strong experience in managing master schedules, budgeting, cash flow, and progress claims, with solid commercial awareness.
• Hands-on experience in authority submissions and approvals, particularly within Singapore’s regulatory environment
• Familiar with cross disciplinary coordination, codes of practice, relevant authorities’ regulations, submission and approval procedures
• Competent user of relevant engineering software (Microsoft Project, Power Point, etc.)
• Possessed a team spirit, resolving conflicts, being able to interact and work with colleagues, delegating tasks, setting project milestones and liaising with consultants at various levels
• Adopt proactive mindset, logical thinking, problem solving, and meticulous in technical planning and attentive in detail
• A proponent of lean principles, value engineering and value added mindset to improve efficiency and productivity.
• Experience in tender management, including preparation of technical and commercial submissions for overseas and local projects.
• Strong coordination skills across multi-disciplinary teams, including consultants, subcontractors, and internal stakeholders.
• Ability to develop and implement construction methodologies, resolve technical issues, and respond effectively to unforeseen site challenges.

Responsibility:

• Provide Level 1 support for network-related incidents and service requests.
• Perform basic troubleshooting of LAN/WAN, Wi-Fi, and network devices (routers, switches, firewalls)
• Configuring network devices, such as routers and switches, and ensuring they are up to date.
• Experience with firewall rules implementation and troubleshooting upon incidents.
• Responsible for provision, deployment, configuration, and administration of many different pieces of network and security-related hardware and software.
• Responsible for evaluating, testing, and troubleshooting technologies when new technologies are onboard.
• Monitor network performance and availability using standard tools.
• Monitoring network performance, identifying areas for improvement, and ensuring optimal network uptime.
• Involve in update/upgrade/migration of security tools used by the team
• Maintain clear and functional documentations on process guides, technical instructions, network details, etc.
• Support routine maintenance tasks such as patching, upgrades, and backups
• Any other ad hoc duties as assigned.

Requirements:

• Applicants with 1 - 2 years of relevant experience
• Relevant certification such as CCNA or CCNP (preferred)
• Willingness to work at healthcare environment.
• Strong knowledge of networking protocols (TCP/IP, DNS, DHCP), network devices (routers, switches, firewalls), and operating systems.
• Strong knowledge and understanding of IT infrastructure and security operations
• Ability to diagnose and resolve network issues effectively.
• Knowledge and understanding of Endpoint security, IDPS, WAF, APT, FW, Cloud Security
• Experience in enterprise level network

Interested applicants, please email at rita@recruitexpress.com.sg and look for

Rita Shi Tianhe

Recruit Express Pte Ltd

EA License No. 99C4599

We regret that only shortlisted candidates will be contacted.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Portfolio Construction & Implementation: Develop and implement portfolio construction strategies and techniques for the Endowment to achieve long-term return objectives. Use quantitative models, optimisation tools and advanced analytics to enhance portfolio construction and asset allocation processes.
• Investment Strategy Development: Incorporate market trends, economic indicators and investment implications to provide actionable insights and recommendations to CIO on portfolio positioning and sizing.
• Investment Strategy Implementation: Collaborate closely with teams to translate investment views and strategies into actionable portfolio allocations. Work with the team to construct a portfolio of best-in-class managers in public and private markets through proper & careful manager selection & due diligence.
• Management & IC Approval: Work with the CIO in portfolio strategy reviews and make investment/manager recommendations for Management and IC's approval. Prepare all communications with senior stakeholders and committees.
• Performance Monitoring & Risk Analysis: Analyze investment results, benchmark performance, and design methodologies for reporting and comparison. Provide market monitoring and risk analysis across asset classes.
• Automation and systematization: Support and implement the continual digitisation of processes and procedures to deliver a firm foundation of analytics and knowledge stores.
• Team Development: Work with CIO to coach, and mentor staff, fostering a high-performance culture within the Investment Office.
• Other duties as assigned.

• A Bachelor's degree in a relevant discipline (e.g., Finance or Economics) with at least 10 years' experience in asset allocation, managing and assessing global multi-asset portfolios and investment strategies.
• A Master's degree would be preferred.
• CFA/CAIA certification would be advantageous.
• Strong market acumen, with in-depth understanding of different asset classes, factors and their risk drivers.
• Ability to draw investment implications from market insights, translating such insights into effective allocation recommendations, portfolio positioning and sizing judgements.
• Demonstrated capability to perform effectively in a high-pressure, results-oriented environment while concurrently managing multiple priorities.
• Strong team mindset, collaborative team player who works well with colleagues and develops junior team members.
• Good communication skills and proactive engagement with key internal stakeholders and external partners. Ability to articulate complex concepts to technical and non-technical stakeholders.

#LI-JN2

Candidates who do not possess the stipulated qualifications but have relevant work experience may still apply. Remuneration and appointment terms shall commensurate with qualifications and experience. SMU reserves the right to modify the appointment terms where necessary.

- 1 year contract (convertible based on performance)

- Up to $6,500

- Mon-Fri: 9am-6pm

- Telok Ayer

Job Overview:

The Data Scientist (AI Engineer) serves as the critical technical bridge between high-level business strategy and scalable AI production. This role is dedicated to accelerating demand creation by translating complex client challenges into feasible, high-impact AI/ML prototypes and Proof of Concepts (PoCs).  

By balancing technical rigor with strategic communication, the incumbent assesses data maturity, designs agile solutions using both traditional and Generative AI, and ensures that all innovations are architecturally sound and ready for production handover. Ultimately, this role drives organizational growth by de-risking AI investments and demonstrating the tangible technical value of emerging technologies.  

Core Focus Areas  

• Technical Translation: Converting business "pain points" into rigorous technical requirements and feasible AI architectures.  

• Rapid Innovation: Designing and iterating on interactive prototypes that showcase the "art of the possible" while adhering to vetted Technology Readiness Level (TRL) standards.  

• Strategic Advisory: Evaluating client data infrastructure and providing technical roadmaps to bridge the gap between current capabilities and AI readiness.  

• Seamless Integration: Partnering with Production and Enablement leads to ensure prototypes are scalable, documented, and transitioned without technical debt.  

• Technology Scouting: Researching and applying cutting-edge tools from the internal Tech Radar to solve real-world client problems. 

Responsibilities:  

Technical Requirements Elicitation & Analysis:  

• Collaborate with AI/ML Business Analysts and clients to deeply understand their existing technical landscape, data infrastructure, and specific operational challenges.  

• Translate high-level business needs into technical requirements for AI/ML solutions, identifying necessary data inputs, system integrations, and potential technical constraints.  

• Assess the technical feasibility of proposed AI/ML use cases, ensuring alignment with the organization’s vetted tech stack and TRL standards, given the client's current data capabilities and technology stack. AI/ML Solution 

Conceptualization & Prototyping:   

• Design and develop rapid, interactive prototypes or proof-of-concepts (PoCs) using appropriate AI/ML techniques (both traditional ML and cutting-edge AI like Generative AI).  
• Demonstrate the functionality and potential business impact of AI/ML solutions through compelling technical demonstrations and visualizations. 

• Iterate rapidly on prototypes based on client feedback, showcasing agility and responsiveness. 

Technical Communication & Value Articulation:  

• Simplify complex AI/ML concepts, algorithms, and technical architectures into understandable terms for non-technical business stakeholders.  
• Clearly articulate the technical value proposition of proposed solutions, explaining how the AI/ML will work and why it is the right approach for the client's problem.  

• Present technical findings, prototype results, and architectural considerations to clients and internal teams.  

Organizational Data Capability Assessment (Technical):  

• Conduct technical assessments of client data maturity, including data quality, accessibility, governance, and existing infrastructure.  

• Advise clients on technical prerequisites and potential roadmaps for enhancing their data capabilities to support AI/ML initiatives.  

Emerging Technology Research & Application:  

• Actively research and evaluate new AI/ML technologies, tools, and frameworks (e.g., specific algorithms, cloud AI services, MLOps tools) relevant to demand creation and prototyping.  

• Support the AI Solution Enablement Lead by exploring specific application-layer use cases for technologies already on the internal Tech Radar. Provide field feedback on the performance of vetted tools in client prototypes  

• Identify how emerging technical capabilities can be applied to solve client problems and create new service offerings.  

• Contribute technical insights to market exploration and strategic planning. 

Cross-Functional Collaboration & Handover:  

• Work in close partnership with the Data Science / AI Production Team from the earliest stages to ensure that prototyped solutions are designed with production scalability and maintainability in mind.  

• Collaborate primarily with the AI Solution Enablement Lead to transition validated TRL 3 prototypes into the hardening phase. Ensure all initial technical elicitation is documented according to Enablement Quality Gate standards to prevent technical debt during handover  

• Facilitate smooth technical handovers of validated concepts, prototypes, and initial architectural considerations to the production team, minimizing rework and ensuring continuity.  

• Provide technical context and support during the transition phase to ensure the production team has a comprehensive understanding of the solution's intent and design.  

Problem Solving & Innovation:  

• Apply strong analytical and problem-solving skills to technical challenges encountered during the demand creation and prototyping phases.  

• Propose innovative technical approaches to address client needs and differentiate our solutions. 

Period:

•  1 year contract (convertible based on performance)

Working Hours:

• Mon-Fri, 9am-6pm 

Salary: 

• Up to $6,500 

Location: 

• Telok Ayer

Requirements:

• Minimum Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field. Master's or Ph.D. preferred.  

• At least 5+ years of progressive experience in AI/ML solution design, data science, or AI engineering, with a significant portion in a client-facing or consulting capacity.  

• Proven experience in designing, developing, and deploying functional AI/ML prototypes that demonstrate business value and are engineered for production.  

• Expert proficiency in Python and extensive experience with core AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).  

• Demonstrated hands-on experience with Generative AI and Large Language Models (LLMs), including frameworks like LangChain, for designing and prototyping novel applications.  

• Strong practical experience with Google Cloud Platform (GCP) services relevant to AI/ML (e.g., Vertex AI, BigQuery, Cloud Storage, Dataflow, Cloud Functions).  

• Proficiency with Docker for containerization and a foundational understanding of container orchestration (e.g., Kubernetes concepts for GKE).  

• Solid understanding of MLOps principles for reproducibility, experiment tracking (e.g., MLflow, Vertex AI ML Metadata/Model Registry), and model versioning.  

• High-level expertise in data governance frameworks, data quality assessment (including tools/libraries like Great Expectations), metadata management (e.g., Google Cloud Data Catalog), and data architecture principles.  

• Strong expertise in distributed computing and parallel processing techniques is vital for handling large-scale AI workloads.  

• A proven track record of innovations and executions in deep learning, demonstrated through shipping products or first-author publications at leading AI conferences, is a strong differentiator.  

• Experience in the container shipping industry or related logistics/supply chain domains is highly advantageous.  

• Excellent presentation, documentation, and stakeholder management skills. 

Interested applicants, kindly email your detailed resume (MS Word format is preferred):
zikry@successhrc.com.sg  (Registration no: R2198989)

Please ensure that applications sent through email are no bigger than 1Mb.

We thank all applicants for your interest but regret to inform that only shortlisted candidates would be notified.

Success Resource Centre Pte Ltd (EA License Number: 04C3201)

160 Robinson Road, #13-07/08/09 SBF Center, Singapore 06891

T: 6337 3183 | W: www.successhrc.com.sg 

Join MODEC’s Engineering Digital Transformation (EDX) team to modernise how engineering gets done. You will identify, design and implement workflow automation by customizing engineering software and complementary tools, building new features, and creating seamless interfaces with our Engineering DX Web Apps. You will perform detailed fit gap analysis of software capabilities against MODEC workflows, then translate engineering rules and constraints into robust, testable logic via scripting and integrations. Your work will drive speed, accuracy and compliance with industry standards and MODEC design standards delivering measurable impact across our engineering deliverables.

Job Responsibilities

• Analyze engineering software functions and modules in detail to assess alignment with MODEC’s engineering workflows, documenting fit gap and proposing solutions or customisations
• Customize engineering software to fit MODEC’s workflows, implementing new features and extensions via the software’s scripting language, application programming interface (API), and configuration capabilities
• Develop and maintain automated interface connections between engineering software, Engineering DX Web Apps, and other generic tools, using programming code and relevant APIs to ensure robust data exchange, synchronization, and event-driven workflows
• Create and maintain data flowcharts for automation and optimization, clarifying inputs, transformations, and outputs for each workflow
• Ensure automation solutions and generated deliverables align with industry standards, classification society rules, and the company’s design policies and principles
• Define clear, testable, and technically feasible software requirements, including engineering calculations, data validation logic, and deliverable generation rules
• Support continuous assurance of automated engineering processes and outputs; collect and analyze feedback from deployments and incorporate improvements into engineering software customizations and interfaces
• Collaborate with internal departments and engineering SMEs to capture domain rules, constraints, and best practices; translate them into actionable logic/configurations within engineering software and integration layers
• Lead or participate in planning, stand-ups, demos, and retrospectives. Report measurable impacts of engineering software customizations and integrations (e.g., processing time reduction, error rate trends, rework avoidance, deliverable throughput)

Qualifications

• Bachelor’s or Master’s in Engineering
• Must have 5+ years in engineering software scripting/dev (e.g., Python, .NET/VBA, JavaScript, vendor APIs)
• Must have hands-on customisation/config of engineering platforms (e.g., AVEVA) using native scripting
• Proven experience building APIs/services linking engineering tools with web apps
• Oil & Gas EPC workflow/deliverables experience is a plus

Competencies

• Engineering platform expertise (AVEVA or equivalent); advanced MS Office
• Strong problem-solving, teamwork and decision-making