Total 2,940 structural engineer job vacancies in Information Technology category in The Philippines

Job Description:

• Design and develop SDK drivers and Harmony/Android-based solutions in the audio domain, including end-to-end audio dynamic architectures.
• Implement and optimize intelligent voice algorithms, audio 3D codecs, and 3D sound effect algorithms, with a focus on efficiency and performance.
• Conduct audio quality (AQ) effect tuning, support customer integration, and deliver high-quality audio solutions under HiSilicon brand.
• Collaborate with cross-functional teams to drive product development from design to deployment.

Required Skills:

• Bachelor's or Master's degree in Computer Science, Electronic Engineering, or related filed
• Solid programming foundation in C/C++, familiar with Linux or embedded operating system environment programming.
• Strong software development skills, familiar with software design principles, development processes, and project delivery.
• Experience in software solution development for audio systems, codecs, or related areas.
• Basic knowledge of audio and complex software modules

Bonus Points:

• Experience in basic algorithm development such as embedded system drivers and AI protocol stacks
• Working knowledge of DSP algorithm optimizations
• Experience in products such as mobile phones, smart watches, smart screens, set-top boxes, or other embedded devices
• Android/Linux system experience is an added advantage.

Interested candidate please click "APPLY" to begin your job search journey.

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PERSOL Singapore Pte Ltd

•RCB No. 200007268E • EA License No. 01C4394

•Registration ID: Heah Sian Wei R23117518

Job Description:

• Provide technical assistance to customers via on-site visits, phone calls, WhatsApp, and email communications.
• Perform installation, commissioning, maintenance, fault diagnosis, and repairs at customer locations.
• Collaborate with vendors to escalate and resolve complex technical issues.
• Deliver training sessions and product demonstrations to end users or clients.
• Handle internal product servicing and support training initiatives.

Requirements:

• Diploma in Electrical/Electronic Engineering, Information Technology, or a related field.
• At least 2 years of relevant work experience.
• Strong communication and presentation skills, both written and verbal.
• Service-minded with a proactive and positive approach toward customer engagement.

To submit your application, please apply online apply@rn-care.com or call +(65) 6223 0323 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd.
EA License No: 17C8900

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.

DUTIES AND 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.

QUALIFICATIONS AND EXPERIENCES:

• 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.

• Experience Requirements:
• Must have QA/Testing Experience.
• Data Testing Experience specifically in Big Data, Hadoop, or Cloud Data Warehouse environments.
• Databricks Experience of testing pipelines within a Databricks environment.
• Automation Focus: Proven track record of moving from manual SQL checks to automated Python-based testing frameworks.
• Mandatory: Databricks Certified Data Engineer Associate (at minimum).
• Preferred: ISTQB Foundation or Advanced Level (Test Automation Engineer).
• Core Technical Skills:
• Data Validation & Frameworks
• Great Expectations / Pandera: Proficiency in using Python-based libraries to define data "contracts" and automated validation suites.
• DLT Expectations: Deep understanding of Delta Live Tables (DLT) expectations (Fail, Drop, Quarantining bad records).
• Advanced SQL: Expert-level SQL for complex data reconciliation, identifying duplicates, and null-value analysis across billions of records.
• Python for QA (PySpark):
• Pytest-Spark: Experience using pytest to write unit tests for PySpark transformations and logic.
• Notebook Testing: Ability to write automated test notebooks that validate Medallion Architecture transitions (Bronze to Silver, Silver to Gold).
• Data Reconciliation: Building Python scripts to perform "source-to-target" counts and checksums across distributed file systems.
• Performance & Integration Testing:
• Scalability Testing: Ability to validate that data pipelines meet performance SLAs when data volume spikes.
• End-to-End Orchestration Testing: Testing the reliability of Databricks Workflows and handling of job failures/retries.
• Schema Evolution: Testing how pipelines handle upstream schema changes without breaking downstream Gold tables.
• Governance & Security Testing:
• Unity Catalog Validation: Testing Row-Level Security (RLS) and Column-Level Masking to ensure unauthorized users cannot see sensitive data.
• Data Lineage: Validating that data lineage in Unity Catalog correctly reflects the movement of data across the Lakehouse.

Job Description & Requirements

We are seeking a motivated and technically skilled Wire Cut / EDM Application Engineer to join our team. This role blends customer-facing support with technical expertise, ensuring optimal machine performance while contributing to product innovation. The ideal candidate thrives on hands-on engineering, enjoys problem-solving, and values close collaboration with both customers and product teams.

Key Responsibilities:

• Conduct pre-sales test cuts to demonstrate machine performance and capabilities.

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

• Deliver training sessions to new users to ensure effective machine operation.

• Collaborate with product development teams by sharing customer and market feedback to guide new product design.

• Travel to regional countries as needed to support customers, deliver training, and conduct demonstrations.

Requirements:

• Minimum Diploma / Degree in Engineering (Mechanical, Manufacturing, or a related field).

• Strong interest in hands-on work with machinery

• Proficiency in SolidWorks, Microsoft Office

• Excellent critical thinking and problem-solving skills

• Strong communication skills for customer interaction and training

• Willingness to travel regionally when required.

• Prior experience as a machine user (Wire Cut/EDM) is an advantage.

• Background in application engineering or technical support roles is beneficial

Responsibilities

• Responsible for the design, programming, debugging, testing, modifications, deployment, operation, and maintenance of the applications.

• Responsible for developing digital products or features to support operations.

• Ensure that the developed modules/deliverables meet expectation, quality standards and target schedule.

• Effectively document issues and provide regular status and progress updates towards project milestones.

• Maintain and update the user guide to reflect system enhancements.

Requirements

• At least 1 year of hands-on working experience with Node.js, ReactJS, TypeScript, Shell Scripting, MySQL, NoSQL, Object-Relational Mapping (ORM) or other similar tech stack

• Bachelor’s Degree, Post Graduate Diploma or Professional Degree in Engineering (Computer/Telecommunication), Computer Science/Information Technology or an equivalent.

• Able to understand and take over existing implementations effectively.

• Able to document project know-how regularly and share with the team (system documentation, incident reporting, etc.).

• Experienced in internet technologies, application servers, and databases.

• Familiar with Git, Design Patterns, and Unit Testing.

• Experience with repositories and CI/CD pipelines such as GitLab, Bamboo and BitBucket

• Experience developing in Mac/Linux environment.

• Experience with AWS (Certification preferred), including foundational services like EC2, S3, and Amazon RDS.

• Strong verbal and written communication skills, able to transmit information in a clear way.

• Problem-solving skills with a high level of initiative.

• A team-player who takes ownership and is highly collaborative.

• Ability to work under pressure and meet tight deadlines.

• A quick learner who can work with minimum supervision.

Good-to-haves

• Experience with Amazon Connect, Cloudwatch, Code Pipeline, Lambda, CloudFront, Amazon SES are a plus.

• Familiarity with a serverless setup is a plus.

• Experience and certifications in cloud infrastructure deployment (Azure or Google Cloud).

• Working experience in Agile and UX development environment is an added advantage.

• Permanent role
• Great exposure to a variety of projects in various technologies

About Our Client

We are partnering with a well-established organisation in the IT security industry, headquartered in Singapore with global presence in multiple countries as well.

Job Description

• Maintain and optimise network infrastructure to ensure reliable performance.
• Monitor, troubleshoot, and resolve network-related issues promptly.
• Collaborate with cross-functional teams to implement network enhancements.
• Ensure compliance with security protocols and best practices in network management.
• Provide technical support and guidance to internal stakeholders.
• Stay updated on industry trends and emerging technologies to improve operations.

The Successful Applicant

A successful Network Engineer should have:

• A strong understanding of network systems, protocols, and configurations
• Experience in troubleshooting and maintaining network infrastructure
• Proficiency with networking tools and technologies
• Familiarity with security measures in a technology environment

What's on Offer

• Competitive annual salary ranging including allowance and performance-based bonus
• Supportive work environment in the business services industry.

If you are a motivated Network Engineer looking to make an impact, we encourage you to apply today.

Contact

Cheryl Ang (Lic No: R2091316/ EA no: 18C9065)

Quote job ref

JN-032026-6969470

Phone number

+65 6416 9884

Michael Page (Personnel) Pte Ltd | Registration No.201736642C

Responsibilities

• Manage end-to-end Application Lifecycle Management (ALM), ensuring smooth onboarding, support, and decommissioning of applications
• Coordinate production support activities, ensuring system stability, SLA adherence, and timely issue resolution
• Drive release and change governance processes, ensuring proper approvals, planning, and execution
• Oversee incident and problem management, including tracking, escalation, and resolution coordination
• Manage IT financial operations (FinOps) including budgeting, forecasting, accruals, and cost optimization
• Lead cloud cost planning and budget governance, ensuring efficient utilization of cloud resources
• Support workforce capacity planning, resource allocation, and utilization tracking across teams
• Govern vendor and managed services, including contract lifecycle, performance tracking, and engagement management
• Manage IT assets and environment readiness, ensuring availability and compliance
• Oversee access provisioning and identity governance, ensuring security and compliance standards are met
• Provide Agile PMO support, including sprint coordination, backlog tracking, and delivery governance
• Maintain application portfolio reporting, including performance, utilization, and cost insights
• Drive technology procurement and contract governance, including PO tracking and invoice validation
• Prepare PMO reports and RAG status tracking for leadership and stakeholders
• Support IT asset provisioning and environment setup for project and operational needs
• Contribute to application deployment support and release readiness activities
• Maintain and manage knowledge repositories using SharePoint and Confluence
• Ensure project tracking and governance reporting across multiple initiatives
• Develop and maintain documentation, SOPs, and process frameworks
• Collaborate with cross-functional teams to ensure delivery alignment and operational excellence

Requirements

• Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field.
• At least 10 years of experience in Application Lifecycle Management, Production Support, and project/contract financial governance frameworks.
• At least 5 years’ experience in IT Financial Management (FinOps) and cloud cost optimization
• At least 5 years’ hands-on experience in PMO support, project tracking and reporting, managing vendor contracts, procurement processes, and managed services.
• Must be able to provide 24 x7 standby support, including weekend and PH on-call support.
• Strong experience in IT asset management, environment provisioning, and deployment support
• Experience in IT security, access management, and identity governance practices
• Experience in cloud platforms and enterprise application environments
• Experience in knowledge management tools such as SharePoint and Confluence
• Experience in Jira and Kanban boards for Agile delivery tracking
• Hands-on experience in financial systems such as Hyperion and PSGL
• Experience in MS Excel, PowerPoint, and Outlook for reporting and analysis
• Experience in Windows-based enterprise environments
• Excellent communication and stakeholder management skills
• Strong leadership and coordination capabilities across cross-functional teams
• Demonstrated problem-solving and analytical thinking skills
• Strong organizational and planning abilities with attention to detail

ASTEK has been providing IT and Engineering solutions for some of the world’s largest industrial and services groups for more than 35 years with 10,000 passionate experts in 22 countries throughout Europe, APAC, Middle East and the Americas

Currently, we are looking for Senior Software Engineer which would be based in Singapore

Responsibilities:

• Bachelor's degree with minimum 5 years of relevant experience in software development, DevSecOps, and production/platform support.

• Proficient in modern programming languages (C#, TypeScript/JavaScript) with hands-on experience in Test Driven Development (TDD).

• Solid understanding of SOLID principles, design patterns, and data models.

• Hands-on experience with building and integrating REST APIs and webhooks.

• Familiarity with CI/CD pipelines, Git, and infrastructure-as-code principles.

• Experience with identity and access management (SSO, OAuth, SCIM).

• Familiarity with AWS EKS, and Snowflake.

• Proven problem-solving, analytical, communication, leadership, and stakeholder management.