IBM Maximo
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Job Description:
We are seeking Technology Lead. As a Technology Lead, you will anchor different phases of engagements primarily related IBM Maximo. You will be responsible for technical Solution Design, Development, Testing of Maximo 7.6/ Maximo Application Suite (MAS) with Utility, ACM or other Maximo Addons or Industry solution Implementation Experience, providing technical consultation on the application, Integration and reports of enterprise solution for IBM Maximo implementation with the objective of high-quality & value adding solutions to customer within the guidelines, policies and norms . You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.
Required Qualifications:
- Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- At least 8 years of Relevant Information Technology experience.
Preferred:
- At least 8+ years of experience in Configuration & Integration, Support and Maintenance in IBM Maximo v7.x/ Maximo Application Suite(MAS)
- Hand on experience on Following
- Install/setup Maximo 7.6.x.x, Ifixes/fix Packs install on 7.6.x.x Maximo.
- Build/deploy on 7.6.x.x Maximo and Troubleshooting 7.6.x.x Maximo issues.
- Security Management in Maximo 7.6
- Deploy/troubleshooting on Weblogic
- Install/Setup WebSphere Application server 9.x on LINUX RHEL 7.
- Deploy/Troubleshooting on WebSphere application server.
- SSL/SSO experience on WebSphere application server.
- Understanding of F5 Load balancer and IBM HTTP server.
- Experience with Azure Devops on work Management.
- Application design, Automation scripts using Python / Java scripts, Complex maximo configurations
- Extensive experience on Rest and Jason based integration
- Middleware integrations ex – Mulesoft, SAP PI
- Maximo migration experience with release and deployment management activities
- Data migration experience informatica and MIF framework
- Experience in Data modeling for BI reporting and hands on BIRT experience.
- Expertise & working knowledge in Maximo Asset Management (Solution design, development and implementation)
- Working knowledge of capabilities in the IBM Maximo EAM/APM solution and Maximo Integration Framework
- Work closely with different stakeholders and portfolio leads, business users/client managers/ specialists to understand the requirements / problem statements
- Leads Supply Planning process and technical design, build, testing and training. Documents all internal and external interface requirements
- Works together with various vendor partners for the template design considering best practices, high usage of standard functionality, repeatability with efficiency, scalability, and sustainability
Other Skills
- Experience with object-oriented programming languages such as Java and C++
- Deep knowledge of Java programming and related technologies
- Experience in JSON, XML, XML parsers, and XSL
- Experience in ETL, Master Data Load and Data Handling (Extraction/Transformation/ Manipulation)
- Experience working with Oracle, DB2 and SQL Server databases: database sizing, troubleshooting, and performance tuning
- Configuration of Web Server Application like Weblogic/Websphere
Job Type: Contract
Contract length: 12 months
Pay: $8, $10,000.00 per month
Experience:
- IBM Maximo: 5 years (Required)
- Java : 4 years (Required)
- WebSphere : 3 years (Required)
Artificial Intelligence
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Our client, a leading name in the global aviation industry, is embarking on a transformative digital journey to redefine how data and artificial intelligence power the future of air travel. We are seeking an accomplished and visionary Artificial Intelligence & Data Vice President to lead and scale enterprise-wide AI, data science, and data engineering capabilities.
This is a rare opportunity to drive innovation at scale — developing advanced AI solutions, pioneering large language model (LLM) and generative AI initiatives, and shaping a data-driven culture across commercial, operational, and customer-facing functions.
About the RoleAs the Artificial Intelligence & Data Vice President, you will define and execute the enterprise AI and data strategy while leading a high-performing team of data scientists, AI engineers, and data professionals. You will serve as a thought leader across the organization, bridging business vision and cutting-edge AI technologies to deliver measurable impact.
Key Responsibilities- Develop and implement the organization's AI and data strategy in alignment with business goals.
- Lead, mentor, and expand a high-performing multidisciplinary AI and data team.
- Drive innovation in AI/ML, including large language models (LLMs), generative AI, and AI agent architectures.
- Oversee enterprise data architecture, governance, and infrastructure across hybrid cloud environments.
- Champion MLOps, LLMOps, and DataOps best practices for scalable, secure, and high-performing systems.
- Build partnerships with hyperscalers, technology vendors, and research collaborators to strengthen internal capabilities.
- Represent the company in AI and data forums, standards groups, and public-private collaborations.
Key Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, or related discipline (PhD preferred).
- Over 15 years of experience in enterprise AI/data systems, including more than 5 years in senior leadership or executive roles.
- Proven success in deploying large-scale AI systems involving LLMs, MLOps, and data platforms.
- Strong technical foundation in cloud and distributed systems (AWS, GCP, Azure).
- Excellent leadership, communication, and stakeholder management abilities.
- Demonstrated experience building and motivating high-performing technical teams.
- Prior exposure to aviation, travel tech, or complex enterprise environments will be an advantage.
This role offers the opportunity to lead one of the most forward-looking AI and data transformations in the aviation sector. You will shape strategy, influence technology direction, and collaborate with global partners — driving innovation that enhances customer experiences, operational efficiency, and business intelligence at scale.
If you are a visionary AI and data leader passionate about transforming industries through technology and innovation, we invite you to apply and be part of this transformative journey.
Interested candidates can forward their CVs in MS Word format to -
Reg No. R
Triton AI Pte Ltd
License no. 21C0661
Artificial Intelligence
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Skywork AI Singapore welcomes enthusiastic and forward-thinking research scientists to join our dynamic team at the Kunlun-2050 Research Lab Singapore. Being a new entrant in Singapore's R&D landscape, we are dedicated to pushing the boundaries of Artificial General Intelligence (AGI) through foundational research, with a particular focus on Foundation Model 2.0 and Agents. Foundation Model 2.0 encompasses various dimensions, including pioneering new foundation modes and applications, optimizing training and inference acceleration, and conducting theoretical studies to enhance interpretability. Our work on Agents delves into both virtual and physical agents, propelling us to the forefront of AGI development.
We invite individuals who share our passion for AGI advancement and are eager to make their mark in the field to apply and become a vital part of our evolving team. Join us to contribute to cutting-edge research and explore the potential for technology transfer into Skywork AI's core products.
Key Responsibilities:
- Conduct groundbreaking research in the AGI field, focusing on Foundation Model 2.0 and Agents.
- Collaborate closely with our interdisciplinary team to publish influential research findings in top-tiered conferences and journals, making a significant impact on the AGI community.
- Embrace the entrepreneurial spirit and actively explore technology transfer opportunities into Skywork AI's core products.
Desirable Experience:
- Relevant work experience in a University or industrial settings, with a primary focus on AI exploration.
- Experience in leading projects and teams
- Hold an esteemed Ph.D. degree in computer science, statistics, engineering, applied mathematics, data science, or related fields.
- Being acknowledged as a first-author contributor to prestigious peer-reviewed conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL) and top-tiered journals (e.g., TPAMI, JMLR, AIJ), or have authored publications in renowned CNS (Cell, Nature and Science).
- Proficiency in any prominent differentiable programming frameworks, such as PyTorch, TensorFlow, and JAX, is highly desirable.
- Showcase a track record of leadership in spearheading substantial research projects.
- Attain esteemed recognition within the academic and professional community.
- Proven track record of delivering high-impact research outcomes.
- Preferrable honored recipient of best paper awards or equivalent in top-tiered conferences.
- Preferrable celebrated victory in international academic competitions.
Apply:
If you're excited to be part of our cutting-edge research team in the AGI space, please send your latest Curriculum Vitae to - to explore this exciting opportunity.
Skywork AI Singapore is committed to fostering diversity and welcomes candidates from all backgrounds to apply. Join us in shaping the future of AGI at Kunlun-2050 Research Lab. Your contributions can be instrumental in defining our journey as a new start-up in this dynamic field
Artificial Intelligence
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Description
We're seeking a highly skilled AI Engineer. Our client within the technology space is offering innovative projects that solve real-world problems with AI. This role will provide opportunities to work with cutting-edge technologies and deliver impactful AI solutions.
Key Responsibilities:
- Develop, train, and deploy machine learning (ML) and deep learning models to solve industry-specific challenges.
- Design scalable data pipelines and preprocess datasets for training and inference.
- Collaborate with cross-functional teams to integrate AI models into existing systems.
- Research and implement state-of-the-art algorithms for areas like NLP, computer vision, predictive analytics, and generative AI.
- Conduct error analysis and improve models to address bias, fairness, and explainability.
- Document technical processes and results, ensuring knowledge sharing within teams.
What We're Looking For:
Technical Skills:
- Proficiency in programming languages like Python, R, or Java.
- Hands-on experience with AI frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Strong knowledge of data preprocessing, feature engineering, and model evaluation metrics.
- Expertise in at least one domain:
- Natural Language Processing (NLP)
- Computer Vision
- Reinforcement Learning
- Generative AI (e.g., GPT, Stable Diffusion)
- Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) for model deployment.
- Strong grasp of mathematics and statistics (e.g., linear algebra, probability, optimization).
Soft Skills:
- Ability to explain complex AI concepts to non-technical stakeholders.
- Strong problem-solving and critical-thinking skills.
- Passion for continuous learning and staying updated with the latest AI trends.
Requirements
Preferred Qualifications:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Industry certifications in AI/ML (e.g., AWS AI/ML Certification, Coursera AI Specializations).
- Previous experience in sectors like healthcare, finance, retail, or autonomous systems is a plus.
Benefits
- Exposure to international markets and the opportunity to work with a diverse team
- Flexible remote working arrangements
- Innovative environment
At Substance, we're all about action, not just talk. If your profile aligns with what we need, you'll hear from us within 1-2 weeks. If not, no fluff—just know we value your interest and will keep you in mind for future roles where your skills can make an impact. We focus on real connections and meaningful matches, so when the right opportunity comes, we'll be ready to make it happen.
Pte. Ltd. | EA License No: 24C2398
Artificial Intelligence
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About Cynapse
Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.
Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.
Job Description
We are seeking a talented and highly motivated Artificial Intelligence (Computer Vision - Algorithms) Intern to join our AI Product group that delivers innovative Computer Vision solutions to global customers.
You will conform to high standards and work in a cutting-edge, dynamic, and professionally challenging environment.
As an Artificial Intelligence (Computer Vision - Algorithms) Intern, you will:
- Implement Computer Vision pipelines using OpenCV and Deep Learning (CV) models
- Work with our AI Full-time engineers to define business challenges that require the use of various ML/DNN & Computer Vision Algorithm techniques
- Improve existing codebase by adding Computer Vision features and debugging errors
Minimum Requirements
- Completed at least 1 year of studies as part of a Diploma, Bachelor or Master in one of the following subjects: IT | Engineering | Computer Science | Information Systems | Statistics | Mathematics
- At least 3 months experience in Python programming
- Basic understanding of Computer Vision techniques. (I.e. Experience with OpenCV)
- Completed at least 1 Uni/Online hands-on course in Machine Learning.
- Experience with one or more ML tools such as Tensorflow, PyTorch etc.
- Good to have : Docker Experience | C++
Soft Skills / Commitment:
- Available for at least a 6-month internship
- Able to work at least 4 days a week (Preferably full-time / 5 days a week).
- Possess a positive learning attitude
- Willingness to travel to customer site to support project needs
- Ability to communicate and collaborate with other team members / external teams
- Deliver project requirements within specified timelines
Why join Cynapse?
- Unique opportunity to work with a talented global team on cutting-edge technologies
- Exciting work environment with flexible hours
Note : Due to the nature of the role, the position is considered for candidates who are only based in Singapore or have experience studying/working in Singapore.
Artificial Intelligence Scientist
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Job Description:
- Support the production 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 data science models.
- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.
- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.
- Work with the relevant software platforms in which the models are deployed.
Requirements:
- Minimum total three years' work experience as AI Engineer.
Artificial Intelligence Engineer
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The client is a world-leading semiconductor fabrication provider with over 20 years of presence in Singapore, is seeking a Application Engineer to join the Automation & System Department's diverse team.
Role: Application Engineer (Artificial Intelligence)
Employment Type: 12-month Contract (Renewable)
Location: East Singapore (onsite)
Working Pattern: Regular Office Hours
Key Responsibilities
Model Operations & Maintenance:
- Monitor and maintain existing AI powered applications in production environment
- To track model performance metrics and detect performance deviation
- Execute model retraining procedures using established workflows and protocols
- Document model performance changes and maintenance activities
Equipment Integration & Model Enhancement:
- Deploy and fan out newly introduced AI powered application across Fab
- Coordinate with base models and collect equipment-specific data for model fine-tuning
- Implement model updates and enhancements using pre-configured pipelines
- Validate model performance after updates and equipment integrations
Quality Assurance & Issue Resolution:
- Identify image quality issues, data drift, and model performance anomalies
- Collaborate with users to resolve application/hardware related issues affecting model accuracy
- Perform basic troubleshooting of AI pipeline components
- Escalate complex technical issues and work with vendors for resolution
- Develop and implement improvement plan to enhance the accuracy and response quality.
Data Management & Documentation:
- Work with IT department to maintain clean, organized datasets for model training and validation
- Create and update technical documentation for maintenance procedures
- Generate regular reports on model performance and system health
- Ensure compliance with data governance and quality standards
- Continuously monitor, analyze, and improve existing chatbot systems to maintain efficiency and high performance
Requirements:
- Bachelor's degree in Engineering, Computer Science, Data Science, or related technical field
- At least 2 years of experience with Machine Learning models, Large Language Models (LLM) concepts and prompt engineering for solution implementation.
- Experience in manufacturing or semiconductor industry.
Technical Skills:
- Proficiency in Python, C++, JavaScript and R programming
- Proficiency with data visualization tools (Power BI, Tableau, matplotlib, seaborn, or similar) and web application development
- Familiarity with MLOps platforms (MLflow, Kubeflow, or similar)
- Familiar with data manipulation libraries (pandas, numpy)
- Experience with SQL databases (e.g. PostgreSQL)
- Experience with cloud platforms (AWS, Azure, or Google Cloud, GitHub)
Basic knowledge of containerization (Docker) and version control (Git)
Interested candidates, please send your resume to - with the subject of " AI Engineer ". Thank you.
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Application Support Engineer (PEGA (V7/V8) IBM MQ,IBM AS/400)
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Key Responsibilities
- Provide L2/L3 application support, including log analysis, issue debugging,and root cause analysis.
- Monitor application performance, perform preventive maintenance, and ensure high system availability.
- Collaborate with cross-functional teams to resolve infrastructure, database, and application-level issues.
- Handle incident, problem, and change management processes in line with ITIL best practices.
- Support UAT and production deployments, ensuring smooth go-live transitions and post-production stability.
- Write and optimize SQL queries and stored procedures for data validation and reporting.
- Participate in disaster recovery (DR) drills, security audits, and compliance checks.
- Coordinate with multiple vendors and internal teams to ensure seamless operations.
- Propose and implement system/process improvements to enhance efficiency and reduce downtime.
Requirements:
- Skilled in debugging, automation, and integration troubleshooting across REST/SOAP APIs.
- Strong analytical and problem-solving capabilities with a proactive approach to issue management.
- Experienced in ITIL-aligned operations, AWS services, and DevOps tools.
- Languages & Tools: CL, Python, PEGA (V7/V8),
- Web Technologies: HTML, XML, JavaScript, ReactJS, Angular, CSS, JSON, Shell Scripting
- Application Servers: WebLogic, Tomcat, JBoss, IBM AS/400, Microsoft IIS
- Databases: SQL,Oracle, DB2/400, PostgreSQL, ODI
- Operating Systems: Windows, UNIX/Linux, OS/400
- DevOps Tools: Jira, Jenkins, Bitbucket, Nexus, Confluence
- AWS Services: EC2, S3, EBS, RDS, Route 53, ALB
- Monitoring & Support Tools: CyberArk, HPSM, AppDynamics, ELK, JMeter,Postman, IBM MQ
- Should be flexible to work in a 24/7 environment and willing to work in rotational shifts.
Manager (Plans - Artificial Intelligence)
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MINDEF
Permanent/Contract
Closing on 21 Sep 2025
What the role is
You support the Branch Head in spearheading Artificial Intelligence (AI) initiatives across Operations Support Information Technology (OSIT) systems to facilitate productivity growth across MINDEF/SAF users.
What you will be working on
- Benchmark AI developments with Whole-of-Government (WoG) agencies to ensure alignment with the National AI Strategy and identifying best practices for implementation
- Work closely with various business domain owners to understand business requirements
- Conduct trials and proof-of-concept of use cases
- Develop plans and allocate resources to scale up AI integration with OSIT networks, ensuring alignment with organisational goals and the national strategy
Challenge(s) - Keeping pace with the ever-changing digital landscape, particularly in the field of AI and related advancements such as cloud computing and Internet of Things (IoT)
- Staying ahead of emerging trends, assessing their relevance to MINDEF/SAF's needs, and swiftly incorporate these technologies into strategies and initiatives
- Collaborating with diverse stakeholders, managing competing priorities and regulatory requirements
What we are looking for
- Education in STEM (Science, Technology, Engineering and Mathematics) and/or related professional qualifications
- At least 5 years of experience working in a technical or engineering setting is preferred
- Strong communication and leadership skills
- Good knowledge of AI and related advancements such as cloud computing and Internet of Things (IoT)
Appointment will be commensurate with your experience.
Only shortlisted candidates will be notified.
About MINDEF
The mission of MINDEF and the Singapore Armed Forces is to enhance Singapore's peace and security through deterrence and diplomacy, and should these fail, to secure a swift and decisive victory over the aggressor.
The Defence Executive Officer (DXO) scheme is the non-uniformed career scheme of MINDEF that offers myriad opportunities in various job functions, such as corporate communications, cyber security, data analytics and visualisation, defence policy, finance, HR, psychology, and more. Embodying the same level of commitment towards defence, DXOs work together with their military counterparts to contribute to MINDEF/SAF's mission and ensure Singapore's security and stability. United by this common cause, our lines of defence complement each other to secure the prosperity and progress of our nation.
About your application process
This job is closing on 21 Sep 2025.
If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and for other roles within MINDEF or the wider Public Service.
IBM Planning Analytics Infra Support Engineer
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Job Description & Requirements
Upkeeping of the cloud resources hosting client's system on IBM Planning Analytics – Monitoring, alert responses
Provision, configure, maintain, and support GCC-hosted infrastructure and cloud resources
Maintenance – patching, restarts
UAT: Every 3rd Thursday, 6:00 PM – 12:00 AM, PROD: Every 3rd Saturday, 3:00 PM – 9:00 PM
Recovery & Restoration
Execute backup and restoration as required
Support requests / queries from apps team & end user
Work with application teams, vendors, and client IT team to support solution design and operational needs
Security controls review and remediation
Review and remediate Security Test findings
Reviews and Reports – based on agreed frequency/cadence
Document and submit Monthly Progress Reports (contains the Monthly Log Review Report for OS (specific for Infra)), submit Daily Monitoring and Health check Status (e.g. CPU, Memory and Diskspace Utilization)
Support audits
Analyze and respond to audit findings
Extract data or capture screenshots from the Cloud Platform or Server to fulfill auditors' requests for new or supplementary evidence
Work closely with internal and external security consultants to review audit reports related to cloud and infrastructure, providing clarifications and remarks as required
Participate in governance call
Attend project meetings (e.g. Weekly IT Meeting, PSDC/PSC where required)
Annual exercises (if any)
Support yearly Penetration Test, e.g. infra support (working with Application Team) to ensure environment readiness for Pen Test to be conducted
Working hours: 8am to 7.30pm on weekdays, 9am to 12.30pm on Saturday (for deployments/upgrade work).