Total 1,444 Others information technology job vacancies in The Philippines

Key Highlights | AI Algorithms Engineer (PHD Holder Only)

• 5 Work Days Per Week
• Office Near to Kaki Bukit MRT, Singapore
• Relocate Near Tai Seng MRT in August / September 2026
• Medical Benefits Provided
• Entitled to Yearly Bonus & Performance Bonus

Current Teams are focusing projects on AI Agent, Computer Vision, Vision Language Models (VLMs)

Job Responsibilities:

1. Algorithm Development: Development and optimization of machine learning and deep learning algorithms to solve complex business problems.
2. Model Training and Evaluation: Participate in the construction and training of artificial intelligence models, including but not limited to neural networks, decision trees, etc., evaluate and optimize the models to improve their performance and accuracy.
3. Data Analysis and Preprocessing: Conduct data collection, cleaning, preprocessing and feature engineering, provide high-quality data for model training, and arrange and guide data labelers to carry out data labeling and other work.
4. Collaboration and Deployment: Collaborate with team members to integrate algorithm models into actual business systems, promote the implementation of projects, and realize the intelligent upgrading of products.
5. Research and Innovations: Stay up to date with the latest advancements in AI and ML technologies. Explore and deploy new technologies, drive innovations to create value to market needs, and enhance the company's competitiveness. Audio and video algorithms for surveillance/monitoring applications which also include the research and implementation of algorithms involving target detection, feature extraction, tracking, and recognition.
6. Documentation and Reporting: Maintain comprehensive documentation of algorithms, experiments, and project workflows. Communicate results and findings to technical and non-technical stakeholders.

Job Requirements:

• Min Master's Degree in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field.
• Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations.
• Strong programming skill in Python, C / C++, proficient in mathematical / statistical concepts and exceptional coding skills
• Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc.
• Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems.
• Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus
• Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mobile platforms and CPU / GPU on server platforms is also a plus.
• Strong logical thinking and problem-solving ability, able to independently undertake the research and tackling of complex problems and team spirit are highly valued traits.
  
  

Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions.

Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe.

Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most.

Key Highlights | AI Algorithms Engineer (PHD Holder Only)

• 5 Work Days Per Week
• Office Near to Kaki Bukit MRT, Singapore
• Relocate Near Tai Seng MRT in August / September 2026
• Medical Benefits Provided
• Entitled to Yearly Bonus & Performance Bonus

Current Teams are focusing projects on AI Agent, Computer Vision, Vision Language Models (VLMs)

Job Responsibilities:

1. Algorithm Development: Development and optimization of machine learning and deep learning algorithms to solve complex business problems.
2. Model Training and Evaluation: Participate in the construction and training of artificial intelligence models, including but not limited to neural networks, decision trees, etc., evaluate and optimize the models to improve their performance and accuracy.
3. Data Analysis and Preprocessing: Conduct data collection, cleaning, preprocessing and feature engineering, provide high-quality data for model training, and arrange and guide data labelers to carry out data labeling and other work.
4. Collaboration and Deployment: Collaborate with team members to integrate algorithm models into actual business systems, promote the implementation of projects, and realize the intelligent upgrading of products.
5. Research and Innovations: Stay up to date with the latest advancements in AI and ML technologies. Explore and deploy new technologies, drive innovations to create value to market needs, and enhance the company's competitiveness. Audio and video algorithms for surveillance/monitoring applications which also include the research and implementation of algorithms involving target detection, feature extraction, tracking, and recognition.
6. Documentation and Reporting: Maintain comprehensive documentation of algorithms, experiments, and project workflows. Communicate results and findings to technical and non-technical stakeholders.

Job Requirements:

• PHD Holder in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field.
• Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations.
• Strong programming skill in Python, C / C++, proficient in mathematical / statistical concepts and exceptional coding skills
• Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc.
• Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems.
• Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus
• Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mobile platforms and CPU / GPU on server platforms is also a plus.
• Strong logical thinking and problem-solving ability, able to independently undertake the research and tackling of complex problems and team spirit are highly valued traits.
  
  

Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions.

Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe.

Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most.

• 5 Work Days Per Week
• Current Office Near to Kaki Bukit MRT
• Will Relocate to Tai Seng MRT in August 2026
• Medical & Dental Benefits Provided
• Entitled to Yearly Bonus & Performance Bonus
• Position: Global Legal Director

Experience in providing legal advice across the Asia, Europe, United States, and Australia regions is highly desirable.

Qualifications:

• Master's Degree or above in law from a well-recognized institution.
• Experience: Minimum 8–10 years of experience in top-tier law firms and/or multinational corporate legal departments, including at least 5 years in a management role (e.g., Legal Director, Senior Legal Counsel).
• Experience in technology, manufacturing, or internet industries, and a background in building or managing a global legal system, is highly advantageous.
• Professional Competence: Proficient in corporate law, contract law, foreign investment, data privacy, intellectual property, and dispute resolution.
• Demonstrated experience and a successful track record in handling cross-border transactions, compliance projects, and complex legal disputes.

Responsibilities:

1. Global Compliance and Strategic Management: Develop, lead, and oversee the company's global legal compliance strategies and framework to ensure all operations across regions fully comply with local laws, regulations, and international standards.
2. Legal System Development and Contract Management: Establish, refine, and optimize the company's global contract management system and standardized legal documents; lead or review major, complex commercial contracts, agreements, and investment-related legal documents; build a comprehensive global legal risk prevention and management system.
3. Dispute Resolution and Business Support: Represent the company in handling significant and complex litigation, arbitration, and other legal disputes; provide on-site legal leadership and support in key business negotiations, M&A, financing, and other strategic matters to safeguard the company's core interests.
4. Legal Advisory and Risk Control: Provide authoritative and forward-looking legal advice and solutions to senior management and various business departments; identify, assess, and alert legal and compliance risks in global business operations.
5. Team Leadership and External Resource Management: Lead and manage the global legal team (including legal professionals in Singapore and overseas locations); efficiently manage and coordinate external lawyers and legal advisors to ensure quality and cost-effectiveness in handling global legal matters.
6. Regulatory Research and Knowledge Management: Continuously research and monitor policies and legal developments in key countries/regions; establish and maintain the company's global legal information database to support business decision-making.

Job Responsibilities:

1. Participate in the review of secondary distribution P&ID / MLD construction drawings and be responsible for pre-construction site inspections.

2. Responsible for the control and coordination of construction site materials procurement and allocation, including hardware, argon gas, piping materials, and fittings.

3. Responsible for construction progress control, including monitoring daily work completion by contractors and consolidating daily work progress data.

4. Responsible for construction quality inspections, including pipeline alignment and leveling, compliance with drawings, pipe clamps, flow direction labels, weld inspection, and assessing whether additional supports/brackets are required.

5. Responsible for inspection and control of engineering quality to ensure construction work complies with relevant standards.

6. Assist the Project Manager in completing other ad-hoc tasks and assignments.
   
   Job Requirements:

   1. Diploma or above in Engineering or other related technical disciplines.

   2. Relevant experience in construction management for hook-up / secondary distribution systems such as PCW, Pumping Line, EXH, Chemical Systems, etc., will be an advantage.

   3. Candidates with 2 years or more of practical construction experience and familiarity with at least one secondary distribution system construction workflow are preferred.

   4. Fresh graduates with a strong interest in engineering and project management are welcome to apply. Training will be provided.

   5. Good communication and teamwork skills, with the ability to effectively coordinate with project managers, subcontractors, and other construction personnel.

   6. Able to work under pressure and handle demanding project environments.

   7. Willing to travel and work at project sites when required

• Support theproduction of scalable and optimised AI or machine learning (ML) models.
• Focus on building algorithms for the extraction, transformation and loading of large volumes of real-time, unstructured data to deploy AI or ML solutions from theoretical datascience models.
• Run experiments to test the performance of deployed models, and identifies and resolves bugsthat arise in the process.
• Work in a teamsetting and apply knowledge in statistics, scripting and programming languages required by the firm.
• Work with therelevant software platforms in which the models are deployed.

Mandatory Skills Description:

• Minimum of 6 to 9 years of experience to implement the solution
• Multi-Agent System Design & Orchestration
• Full-stack AI Integration (Frontend to Backend)
• AI Safety, Guardrails & Governance
• Enterprise Application Integration & AI Orchestration
• High-Scale Vector Database Management
  
  
  

Duties & Responsibilities

• Troubleshoot, service, and repair CNC and laser engraving/cutting machines supplied by the company.

• Perform machine demonstrations, material testing, sample production, and engraving/cutting applications for customers.

• Install and commission new equipment according to specifications to ensure proper functionality and performance.

• Provide customer training on machine hardware, software operations, and basic maintenance procedures.

• Support customers with after-sales service inquiries, spare parts requirements, and maintenance-related assistance.

• Promote and process spare parts sales as well as annual preventive maintenance service contracts.

• Prepare and submit detailed service reports upon completion of service activities.

• Coordinate with the Sales Department regarding customer service requirements and technical support matters.

• Travel overseas when required to carry out installation, servicing, training, and technical support duties.

• Maintain a professional, courteous, and customer-oriented attitude at all times.

• Carry out any other ad hoc duties assigned by the company or immediate superior.

Project Description: We are seeking a skilled and experienced Data Engineer to join our Data & Analytics team. The ideal candidate will have a strong background in Snowflake SQL, investment reporting data, and financial knowledge related to investment management. As a Data Engineer, you will play a critical role in designing, implementing, and maintaining our data infrastructure to support investment reporting and analytics.

Responsibilities:
- Design, implement, and maintain scalable and efficient data pipelines using Snowflake and SQL.
- Develop data models, ETL processes, and data integration workflows to ensure high data quality and reliability.
- Optimize data storage and retrieval performance in Snowflake.

Data Manipulation and Transformation:
- Perform complex data manipulation and transformation using SQL to prepare data for analysis and reporting.
- Implement data cleansing, aggregation, and enrichment processes to ensure data accuracy and consistency.
- Develop and maintain reusable SQL scripts and stored procedures for data processing.

Collaboration and Support:
- Collaborate with data analysts and other stakeholders to understand data requirements and deliver solutions that meet their needs.
- Provide technical guidance and mentorship to junior data engineers and other team members.
- Work closely with IT and DevOps teams to ensure seamless data integration and deployment.
- Data Layer Preparation:

Design and build data layers to support various analytical and reporting needs.
- Ensure data layers are well-documented, easily accessible, and performant.
- Implement data governance and security best practices to protect sensitive information.
- Performance Tuning and Optimization:

Monitor and optimize the performance of data pipelines, databases, and queries.
- Identify and resolve performance bottlenecks to ensure timely and efficient data processing.
- Stay up-to-date with the latest trends and best practices in data engineering and apply them to improve our data infrastructure.
Mandatory Skills Description:
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field

Experience:
- Minimum of 1-2 years of experience in data engineering, with a strong focus on SQL and data manipulation.
- Proven experience working with Snowflake or other cloud-based data warehousing solutions.
- Experience with Tableau
- Strong background in designing data model and building scalable data pipelines and data models.
- Solid understanding of financial instruments, investment operations, investment reporting and portfolio management concepts.
- Knowledge of investment performance measurement, risk analysis, and portfolio management concepts.

Skills:
- Expert-level proficiency in SQL, with the ability to write complex queries and optimize them for performance.
- Strong experience with ETL tools and processes.
- Familiarity with Tableau
- Knowledge of data governance, security, and compliance best practices.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.

Nice-to-Have Skills Description:
- Familiarity with programming languages such as Python, LLM, Langchain

Executive Summary

Smart IMS Inc provides Digital technology & Cloud transformation services, Application & Infrastructure Management Services, Unified Communications, and Insurance implementation services to customers across the Americas, Europe, Middle East, and Asia-Pacific regions.

As the trusted technology and business partner of leading MNCs, including Global Investment Banks, Smart IMS is also a Microsoft Gold Certified Partner, Oracle Platinum Partner and AWS MSP Partner.

We currently have an opening for a Data Centre Cabling Coordinator role for our client in Singapore which is a leading global investment bank. The Cabling Coordinator is responsible for coordinating and managing structured cabling requests across the APAC region, covering data centres and network rooms. 

The role ensures timely delivery, standardisation, and compliance with cabling standards while supporting regional projects and operational requests, including after‑hours and weekend activities when required.

Key Responsibilities

• Act as the regional point of contact for APAC cabling requests (MACs, projects, refreshes).
• Coordinate cabling activities with local sites, vendors, and internal teams.
• Ensure cabling works comply with global standards, labelling conventions, and best practices.
• Review cabling designs, rack layouts, and pathways for feasibility and scalability.
• Track request status, manage schedules, and provide regular updates to stakeholders.
• Validate work completion, testing results, and documentation.
• Support weekend and after‑hours cabling activities for critical implementations.

Required Skills & Experience

• Experience coordinating structured cabling in data centres and network rooms.
• Strong knowledge of fibre and copper cabling standards and practices.
• Experience working across multiple countries/sites in APAC will be an advantage
• Strong coordination, communication, and documentation skills.

Working Conditions

• Regional APAC coverage with occasional weekend and after‑hours support as required.

Executive Summary

Smart IMS Inc provides Digital technology & Cloud transformation services, Application & Infrastructure Management Services, Unified Communications, and Insurance implementation services to customers across the Americas, Europe, Middle East, and Asia-Pacific regions.

As the trusted technology and business partner of leading MNCs, including Global Investment Banks, Smart IMS is also a Microsoft Gold Certified Partner, Oracle Platinum Partner and AWS MSP Partner.

We currently have an opening for a Capacity Engineer (Data Center) role for our client in Singapore which is a leading global investment bank. The Data Centre Capacity Engineer is responsible for capacity planning and management across data centres and network equipment rooms.

This role ensures sufficient space, power, and cooling are available to support current operations and future growth, while maintaining resilience, compliance, and cost efficiency.

Key Responsibilities

Capacity Planning & Management

• Plan and manage data centre and network room capacity covering space, power, and cooling.
• Develop short‑, medium‑, and long‑term capacity forecasts based on IT demand and growth projections.
• Support phased load planning (e.g. IT load ramp‑up by phase).

Infrastructure Assessment

• Evaluate electrical infrastructure including UPS, transformers, PDUs, generators, and redundancy (N, N+1).
• Assess cooling infrastructure such as CRAH/CRAC units, chillers, and cooling towers to support projected IT loads.
• Identify capacity constraints, single points of failure, and mitigation options.

Design & Setup

• Support data centre and network room design, layout, and rack planning.
• Review and validate load calculations for electrical and cooling systems.
• Ensure new deployments align with data centre standards and best practices.

Tools & Inventory

• Maintain accurate capacity data in DCIM and asset management tools (e.g. Nlyte, Remedy).
• Validate inventory accuracy and ensure alignment between physical assets and system records.

Governance & Operations

• Support Method of Procedure (MOP) reviews related to capacity upgrades and changes.
• Work closely with Operations, Facilities, Network, Hosting, and Governance teams.
• Provide input to vendor designs, tenders, and technical reviews.

Reporting & Stakeholder Management

• Produce regular capacity reports and dashboards for management.
• Communicate risks, constraints, and recommendations clearly to stakeholders.

Required Skills & Experience

• Strong understanding of data centre power and cooling infrastructure.
• Experience in capacity planning for data centres and network rooms.
• Familiarity with redundancy concepts and resilience standards.
• Experience with DCIM and asset management tools.
• Ability to work across IT, facilities, and vendor teams.

Preferred Qualifications

• Background in data centre operations, facilities engineering, or infrastructure planning.
• Experience supporting large‑scale or regulated enterprise environments (e.g. financial institutions).

Accounts Duties

• Handle the full set of accounts, including general ledger, month-end and year-end closing activities.
• Process purchases, staff reimbursements, and payments to vendors (Accounts Payable).
• Issue invoices, credit notes, preform receipts, and follow up on outstanding payments from customers (Accounts Receivable).
• Perform bank reconciliations and maintain accurate accounting records.
• Assist with CPF submissions, GST filings, and regulatory compliance requirements.
• Prepare monthly management accounts, financial statements, and periodic schedules for management review.
• Liaise with banks and other external stakeholders as required.

Administrative Duties

• Provide administrative support for HR matters, including work pass applications and renewals, IR21 tax clearance submissions, employee insurance administration, and maintenance of personnel records.
• Manage general office administration, including document filing, correspondence, and office supplies.
• Perform other ad hoc accounting and administrative duties as assigned by management.

Executive Summary

Smart IMS Inc provides Digital technology & Cloud transformation services, Application & Infrastructure Management Services, Unified Communications and Insurance implementation services to customers across the Americas, Europe, Middle East, and Asia-Pacific regions. As the trusted technology and business partner of leading MNCs, including Global Investment Banks, Smart IMS is also a Microsoft Gold Certified Partner, Oracle Platinum Partner and AWS MSP Partner.

We are looking to hire a Front Office Trading Application Support Specialist to provide frontline production support for our client in Singapore which is a top global investment bank. They will look to cover trading and front office applications across multiple asset classes, supporting business-critical trading activities and ensuring platform stability and availability.

This role is the key focal point for the customer/client /associate experience, restoring complex/major production incidents under tight Service Level Agreements (SLAs), pursuing root-cause and problem resolution follow-up.

Key Responsibilities:

• Provide Front Office production/application support for trading applications across asset classes like FX, Interest Rates, Credit, Commodities, Fixed Income products.
• Work closely with traders and business stakeholders to investigate and resolve application, trade flow, and production issues.
• Monitor trading platforms, application health, batch processes, and operational workflows to ensure system stability and availability.
• Manage Incidents and Problem management.
• Perform start of day, End of Day and start of week checks.
• Analyze application logs, activity logs, and batch logs using Python scripting and SQL queries for troubleshooting and issue investigation.
• Identify opportunities for automation and automate manual tasks being performed by team.

Key Requirements:

• 3–4 years of relevant Front Office / Trading Application Support experience within investment banking or financial services environments.
• Candidates with strong technical capabilities and good financial markets knowledge but without direct support experience may also be considered.
• Good understanding of financial markets and ideally more than 1 asset class such as FX, Interest Rates, Commodities, Fixed Income, or related trading products.
• Hands on experience on SQL queries and commands.
• Good Python scripting knowledge, particularly for log analysis, troubleshooting, and operational support activities.
• Experience in production support, incident management, and troubleshooting within a trading or financial systems environment.
• Experience in Monitoring tools e.g. ITRS Geneos, Splunk, Elastic, Dynatrace etc
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to work in a fast-paced Front Office support environment with direct business user interaction.
• Strong communication and stakeholder management skills.

Good to Have Skills

• Exposure to Front Office trading systems or electronic trading platforms.
• Experience supporting global markets or capital markets applications.
• Knowledge of scripting or automation for operational support improvements.
• Tableau, Ansible, TOSCA, or related tooling exposure is a plus.
• CFA Certification will be a plus

Responsibilities:

• Assist with loading and unloading of fragile goods onto the vehicle and ensuring safe delivery to customers.
• Ensure all deliveries are fulfilled per delivery routes
• Ensure cleanliness and maintenance of the delivery vehicle
• Assist in calling customers upon arrival
• Ensure D.O are all signed
• Perform additional tasks and duties as assigned by the management.

Requirements:

• Able to manage time well and adhere to delivery schedules.
• Strong team player with good communication skills.
• Able to carry heavy items
• Able to use pallet jet to transport goods

Others:

• 5 Days work week (Mon to Fri. 9am to 6.30pm)
• Location: Kaki Bukit (Able to commute)

Responsibilities:

• Support and manage daily sales operation
• Handle quotation, and knowledgeable in purchase orders, delivery orders, sales orders & invoices
• Respond to high volume of inquiries through calls & emails to provide solutions to customer issues
• Connect with existing key customer contacts if needed
• Collaborate with internal teams like Finance, Procurement, Logistics, and Marketing to facilitate smooth processes
• Assist in preparation & submission of relevant reports and documents for tenders
• Attend regular online/offline product training sessions arranged by vendors to keep to date to latest technology

Requirements:

• Diploma in Business or a related field.
• Preferably 1-2 years of experience in a similar role.
• Experience with computer hardware, software, or maintenance contracts is a plus.
• Comfortable working in a fast-paced and dynamic environment.
• Excellent at building and maintaining strong relationships with customers and internal team
• Proficient in Microsoft Office & Excel

Responsibilities:

• Define design verification test plans, analyze device performance, and provide feedback for design improvement.
• Perform detailed characterization of active and passive integrated photonic devices on the chip-level and wafer-level.
• Develop programs for data post-processing.      
• Participate in projects for the development of next-generation products.
• Manage a team of engineers in daily responsibilities

Requirements:

• Minimum Master's degree in electrical engineering, optical engineering or semiconductor physics.
• Experience in Project Management
• Hands-on experience in characterization of active and passive integrated photonic devices, including various OO, EO, and OE measurements at DC and AC levels.
• Experience in test setup development and maintenance, and equipment resourcing.
• Experience in guided-wave optical device working principles.
• Experience in managing a team.

Job Purpose

We are a multi-disciplinary design team that uncovers opportunities and challenges others overlook, solving them with bold, unconventional solutions powered by deep technology. Through compelling storytelling and stunning product visuals, we bring complex technologies to life, making them accessible, desirable, and easy to adopt. We don't just showcase technology, we champion it. Acting as the bridge between cutting-edge innovation and real-world customers, we translate technical complexity into clear, human-centred narratives that spark curiosity, accelerate understanding, and inspire action.

Key Responsibilities

• Lead end-to-end design processes, from user research and ideation to wireframing, prototyping, and high-fidelity UI design
• Conduct user research, usability testing, and interviews to uncover insights that inform design decisions
• Produce high quality UX design solutions through wireframes, visual and graphic designs, flow diagrams, storyboards, site maps, and prototypes.
• Support the design and development of physical products from early concept through to final production
• Present designs to customers, develop and iterate designs through sketches, prototypes, renderings and communicate with stakeholders.
• Work on projects that spread across product development, print, packaging, video storytelling, brand identity, and interactive projects for screens, devices, and space.
• Build physical and digital models and prototypes to explore and validate design directions.
• Align with proposed design direction and bring in the voice and emotion to the project through thoughtful features and initiatives.
• Bring both a strategic eye and a depth of craft in brand and communications design to the project teams.
• Provide advice and guidance on the implementation of UI/UX research methodologies and instil inspiration into the organization and our partners.
• Assist in creating prototypes of different levels of fidelity to help enhance the design direction for a project. Applied Research and Innovation

Job Requirements

• Minimum 2 years of experience in Industrial design or UI/UX design, with a strong portfolio demonstrating end-to-end design thinking
• Degree in Industrial Design, Product Design, Interactive Design or related field.
• Solid understanding of user-centered design principles, interaction design, and visual design fundamentals
• A collaborative mindset with the ability to give and receive constructive feedback
• Experience working within agile or iterative product development environments is a plus
• Proficiency in design tools such as Figma, Adobe XD, or equivalent
• Proficiency in CAD software such as SolidWorks, Rhino, or Fusion 360
• Familiarity with rendering tools such as KeyShot, Blender, or similar.
• Ability to spark ideas and generate fresh concepts and inspire peers.
• High proficiency in Adobe Photoshop, Illustrator and other Adobe Suite Tools.
• Excellent drawing skills with a creative mind to bring new perspectives to the design.