Total 10,784 Engineering job vacancies in NO 3 CHANGI BUSINESS PARK CRESCENT CHANGI BUSINESS PARK SINGAPORE

• Analyse the Authority’s data needs and document the requirements.
• Refine data collection/consumption by migrating data collection to more efficient channels.
• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.
• Develop test plan and scripts for system testing, support user acceptance testing.
• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.
• Ensure the smooth operations and service level of IT solutions.
• Support production issues.
• Good understanding and completion of projects using waterfall/Agile methodology.
• Hands-on experience in DevOps deployment and data virtualisation tools like Denodo will be preferred.
• Understanding of reporting or visualization tool like SAP BO and Tableau is important.
• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.
• Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica.
• Strong SQL and data modelling and data analysis skills.
• Good understanding of analytics and data warehouse implementations.
• Ability to troubleshoot complex issues ranging from system resource to application stack traces.
• Track record in implementing systems with high availability, high performance, high security hosted at various data centres or hybrid cloud environments will be an added advantage.

• Have a solid technical skill with diversity of thought and creative solutions that are in the best interests of our customers globally.
• Develop, test, and debug automated tasks (Apps, Systems, Infrastructure)
• Troubleshoot priority incidents, facilitate blameless post-mortems.
• Work with development teams throughout the software life cycle ensuring sustainable software releases.
• Perform analytics on previous incidents and usage patterns to better predict issues and take proactive actions.
• Build and drive adoption for greater self-healing and resiliency patterns.
• Lead and participate in performance tests; identify bottlenecks, opportunities for optimization, and capacity demands.
• Adhere to firm-wide architecture standards, risk management and security policies.
• Team player and ability to work in Global Team setup, product owners and business team to develop, build & support application.
• Communicate and collaborate on development items with global team, as well as raise/work to resolve issues impacting development.
• Postproduction application support
• Participate in quality assurance, peer reviews and code reviews Qualifications.
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
• A successful history of manipulating, processing, and extracting value from large datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Up to date with latest ongoing technologies in the industry
• Well-spoken/Articulate and Emotionally intelligent
• Well connected to industry members, attends developer and tech meetups.
• Strong understanding of DevOps practices, tools, and techniques.
• Degree in Computer Science/ IT or other related fields
• Experienced deploying application in a containerized environment using Docker/Kubernetes/PCF/Openshift/AWS etc.
• In-Depth OS experience (RHEL, Ubuntu, Windows Server) with strong debugging, troubleshooting, and problem-solving skills.
• Experience in site reliability engineering in one of the following languages: Python, Java, PowerShell, shell scripting.
• Hand-on experience with cloud-based technologies and tools especially in deployment, monitoring and operations, such as Prometheus, Splunk, Elasticsearch, Grafana
• Strong working knowledge of modern development technologies and tools such Agile, CI/CD, Git, Terraform and Jenkins.
• Good understanding of networking protocols and cybersecurity best practices in public cloud environment
• Advanced working SQL knowledge and experience working with RDBMS, Hadoop, and NoSQL DB.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management.

Meta Enterprise Engineers build industry leading, highly intuitive software that underpin business functions across Supply Chain, Finance, Compliance, Sales, Marketing, E-commerce and Security. Our products consistently influence the enterprise software industry by defining new standards for how our customers, internally and externally, relate to their daily work. We are looking for Enterprise Engineers who share a passion for tackling complexity, coaching and mentoring others, while defining the strategy and vision that guide the team to develop complex transactional systems with high availability, data integrity, and reliability.

The vision for our teams is to provide a platform that other Meta teams can leverage and build on top of to enable their integration use cases with Meta’s Partners.

Responsibilities

• Own product architecture and collaborate with product managers, designers and other engineers to set the technical direction and create software that optimizes for business metrics
• Communicate technology and product strategy effectively to both internal and external stakeholders and leadership
• Build industry leading enterprise systems that are highly available, intuitive, scalable, and secure
• Produce highly reliable and performant code with appropriate monitoring and alerting
• Conduct design and code reviews to ensure scalability, performance and alignment with standards and best practices
• Analyze and improve efficiency, scalability, and stability of various system resources
• Follow release management policies to ensure data integrity, compliance and system stability

Minimum Qualifications

• Experience in understanding code bases, including API techniques
• BS in Computer Science or equivalent experience
• SQL experience in handling volumes of data, performance tuning
• 7+ years experience building intuitive systems in Java, PHP, C++, Python or Javascript
• 5+ years of experience with product design/systems design

Preferred Qualifications

• 5+ years experience working with code bases building micro services, REST APIs, GraphQL
• Familiarity with JS technologies such as ReactJS, VueJS or AngularJS
• Experience modeling data flows between systems to enable transactional workflows and upstream/downstream integrations
• Experience building secure software with auditable access controls and permissions

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

about company

I am currently working with a global leader in communications solutions; broadband, radio network etc.

Salary structure (90% base, 10% bonus). 2-3 rounds of interview. Office located at Ubi. Flexible working arrangement.

about job

● Provide technical guidance on complex communications systems, including multi-site P25 and DMR radio networks for direct customers and our distribution channel partners

● Driving sales growth by working with Sales Account Managers and BDM in direct customer engagement

● Contribute to the design and development of new products, services and solutions by providing feedback from the field

● Will involve regional travel to support the sales opportunities

skills and requirements

● University Degree in Electronics, Radio Systems or Communications Engineering or equivalent

● Tertiary Qualified: Technology/IT/Engineering Degree/Marketing background

● Direct engagement with customers in the design, deployment and support of complex solutions.

● History of communicating technical and project information successfully with customers

● Experience in the Land Mobile Radio or equivalent communications industry

To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)

Our client is a manufacturer of machines that offers automated solutions for the pharmaceutical industry and healthcare facilities.

• Conduct system performance tests, data analysis, and troubleshooting to ensure optimal functionality of mechanical, software, and hardware components.
• Execute validation protocols for automated systems, ensuring compliance with industry standards and regulations.
• Collaborate with cross-functional teams, including design, manufacturing, and quality assurance, to identify validation requirements and methodologies.

Requirements:

• Diploma and above
• At least 2 years of experience in validation engineering, particularly with automated systems.
• Experience with robotics, control systems, or advanced manufacturing technologies.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R22111604

Our client provides products and solutions to hospitals in Singapore.

• Develop and execute validation protocols for washers and sterilizers used in hospital settings.
• Support regulatory submissions and inspections, providing necessary documentation and evidence of compliance.
• Ensure documentation is complete, accurate, and audit-ready.

Requirements:

• Degree in Biomedical Engineering
• At least 2 years experience testing Central Sterile Supply Departments and/or water treatment systems.
• Excellent analytical, problem-solving, and communication skills.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R22111604

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.

About the team

The success of TikTok's data business model hinges on the supply of a large volume of high quality labeled data that will grow exponentially as our business scales up. However, the current cost of data labeling is excessively high. The Data Solutions team is built to understand data strategically at scale for all Global Business Solution (GBS) business needs. Data Solutions Team uses quantitative and qualitative data to guide and uncover insights, turning our findings into real products to power exponential growth. Data Solutions Team responsibility includes infrastructure construction, recognition capabilities management, global labeling delivery management.

About the role

As Data Engineer, you will be working on cutting-edge challenges in the big data and AI industry which requires strong passion and capability of innovation. You will collaborate closely with cross-functional teams to understand business requirements and translate them into technical solutions.

Responsibility

1. Architect efficient, scalable and reliable data pipelines and infrastructure for ingesting, processing, and transforming large volumes of data;

2. Define the technical strategy and roadmap for data engineering projects in alignment with business objectives, actively evaluate and bring in industry best practices and state-of-the-art technical approaches, and timely update the strategy according to the rapid change of the industry;

3. Own and drive data engineering projects by leveraging both internal and cross-functional resources, setting meaningful and challenging targets, and achieving them with innovative approaches;

Qualifications

Minimum Qualifications:

1. Bachelor's or Master's degree in Computer Science, Engineering, or related field;

2. Experience in data engineering, with demonstrated expertise in building scalable data pipelines and infrastructure;

3. Proficiency in programming languages such as Python, SQL, and Java;

4. Experience with big data technologies such as Apache Spark, Hadoop, and Kafka.

Preferred Qualifications:

1. Strong understanding of database systems, data warehousing, and distributed computing concepts;

2. Excellent communication, and interpersonal skills.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Our client provides products and solutions to hospitals in Singapore.

• Develop and execute validation protocols for washers and sterilizers used in hospital settings.
• Support regulatory submissions and inspections, providing necessary documentation and evidence of compliance.
• Ensure documentation is complete, accurate, and audit-ready.

Requirements:

• Degree in Biomedical Engineering
• At least 2 years experience testing Central Sterile Supply Departments and/or water treatment systems.
• Excellent analytical, problem-solving, and communication skills.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R22111604

about the company

My client is a leading manufacturer of digital electronic products. With an outstanding international reputation in its field and a great emphasis on training & development, it is certainly a great brand to explore if you are seeking for greater achievement in your career

about the job

• Design and realization of the chip floorplan, clock architecture and powerplan
• In charge of physical design tasks from netlist to GDSII (P&R, formal verification, static timing analysis, physical verification, power analysis, design for reliability and tapeout)
• Lead analog designs during product development
• Physical design methodology of advanced process nodes and builds an automatic physical design platform

skills & experience required

• PhD / Master / Degree in Electrical & Electronics / Integrated Circuit / Microelectronics Engineering
• Min 2 years of hands on with digital backend ICs circuit design / physical design
• Well versed with synthesis, place & route, STA and design convergence
• Willing to work in a new start up entity in Singapore
• Proficient in tapeout experience at advanced technology will be a plus
• TCL,Perl,Python script development and familiar with EDA tool design
• Training given to candidate with no experience
• 2 rounds of interview (both round will be technical which is related to Physical Design)

If you are interested in the position

Please include your availability, expected salary and reason for leaving current job

We regret that only shortlisted candidates will be contacted

EA: 94C3609 / Reg: R1325913

Responsibilities

• Diagnose and solve technical problems on semiconductor machinery and systems, such as computer setups, advanced software, or networked/wireless systems.
• Carry out on-site installations, continuous improvement initiatives, parts overhauls, preventative maintenance, equipment modifications, and repair work.
• Act as the main point of contact between the company and the customer for both administrative and technical matters related to assigned projects.
• Organize logistics and coordinate with customers on equipment-related issues.
• Address customer complaints, offering timely solutions to resolve their issues.
• Track product performance, providing regular updates and feedback on customer service requests.
• Report recurring customer concerns to management to help prevent future issues.

Requirements:

• Minimum of 2 years of related experience in Semiconductor Industry
• Possess at least a Diploma/Degree in Electrical or Electronic Engineering
• Good time management skills, ability to meet deadlines, and strong attention to detail
• Good team player with the ability to work independently

Please submit your updated resume in Word format by using the Apply Now Button.
We regret that only shortlisted candidates will be notified.

Email resume to [email protected]

People Profilers Pte Ltd, 20 Cecil Street, #08-09, PLUS Building, Singapore 049705.
Tel: 6950 9724

http://www.peopleprofilers.com
EA License Number: 02C4944
Registration Number: R1872398

Posting Personnel: Ng Jwee Ken

Ref: QXV54V53

Job Purpose

At Great Eastern, we are building Data and AI capabilities to activate the full value of our data. Reporting to Head, Group Data and AI, Center of Excellence, this role is to

• To lead the Data & AI project end to end from development to deployment
• To help the leaders make the right technology decisions for data engineering/science, data hosting and to identify the right partners for development.

The Job

• Work across the entire GEL Data & AI solution space, designing and developing solutions.
• Collaborate with business users to understand and solve their requirements, driving business value.
• Collaborate with data analysts, data scientists, and data engineers to identify and pilot use cases and develop capabilities.
• Discuss feasibility and architectural design with business teams, translating their vision into realistic technical implementation.
• Present and demonstrate solution concepts, prototypes, and final deliverables to business users.
• Design, develop, and implement scalable data pipelines and machine learning models.
• Participate in code reviews, knowledge sharing, and meetings to foster collaboration and continuous improvement.
• Optimize model performance, ensuring scalability, security, and data integrity of data & AI solutions.
• Identify opportunities for innovation, applying new technologies and best practices.
• Mitigate business and regulatory compliance risks.
• Stay updated on industry trends, emerging threats, and technologies.
• Highlights any potential concerns /risks and proactively shares best risk management practices
• High level of integrity takes accountability of work and good attitude over teamwork.
• Takes initiative to improve current state of things and adaptable to embrace new changes.

Our Requirements

• Master's Degree in computer science, engineering, or related field.
• 5+ years of experience building data products and services in engineering positions.
• Broad knowledge of Data & AI pillars: Data Engineering, Analytics, and AI/ML.
• Proficiency in programming languages (Java/Python/R/Scala), SQL, and Big Data querying tools.
• Experience with machine learning libraries and frameworks (TensorFlow, scikit-learn, PyTorch).
• Familiarity with systems development life cycle, project management, and Agile methodologies.
• Ability to explain complex concepts in non-technical language.
• Strong problem-solving skills and a proactive mindset.
• High level of integrity takes accountability of work and good attitude over teamwork.
• Takes initiative to improve current state of things and adaptable to embrace new changes.

About Great Eastern

Established in 1908, Great Eastern places customers at the heart of everything we do. Our legacy extends beyond our products and services to our culture, which is defined by our core values and how we work. As champions of Integrity, Initiative and Involvement, our core values act as a compass, guiding and inspiring us to embrace the behaviours associated with each value, upholding our promise to our customers - to continue doing our best for them in a sustainable manner.

We work collaboratively with our stakeholders to look for candidates who exhibit or have the potential to embrace our core values and associated behaviours, as these are the key traits that we expect from our employees as they develop their careers with us.

We embrace inclusivity, giving all employees an equal opportunity to shine and play their role in exploring possibilities to deliver innovative insurance solutions.

Since 2018, Great Eastern has been a signatory to the United Nations (UN) Principles of Sustainable Insurance. Our sustainability approach around environmental, social, and governance (ESG) considerations play a key role in every business decision we make. We are

committed to being a sustainability-driven company to achieve a low-carbon economy by managing the environmental footprint of our operations and incorporating ESG considerations in our investment portfolios; improving people’s lives by actively helping customers live healthier, better and longer; and drive responsible business practices through material ESG risk management.

To all recruitment agencies: Great Eastern does not accept unsolicited agency resumes. Please do not forward resumes to our email or our employees. We will not be responsible for any fees related to unsolicited resumes.

• Understanding of Internet technologies (such as routing, switching, and network infrastructure) and technologies related to the ISP sector
• Possessing excellent analytical and problem-solving abilities, with a talent for addressing technical and operational issues.
• Skilled in network management and maintenance with a strong dedication to offering assistance with technical issues.
• Experience in IT audit or CISA/CISM certified preferred or operational risk management and control self-assessment or prior experience in implementing security solution and information security governance
• Management of Enterprise Data Network includes administration, patching, upgrades, and migration tasks, as well as designing, preparing HLD/LLD, leading implementation teams, and managing service levels, demands, incidents, and changes.
• Cisco/Aruba Switching /Routing & WLAN
• DDI, AAA/Cisco ISE
• Network Automation: Python & Ansible
• As Built, LLD, Testing & Acceptance Testing Documentation Skills
• ZScaler & Network Security
• Certification: CCNP/CCDA equivalent
• Meraki, Palo alto, f5 loadbalancer, UTP
• Provide network WAN/LAN design, implementation, consulting, Cisco, Aruba, Juniper
• Conduct a network audit to pinpoint any deficiencies and recommend appropriate solutions. Assisting with RFP/RFI reply.
• Experience in overseeing operations using ITIL methods / Project Management certification - PMP

• Knowledge on Internet Technologies (i.e. routing, switching and general network infrastructure), and technologies associated with the ISP market
• Strong analytical and problem-solving skills, and has a flair for dealing with technical and operational problems
• Experience in network operations/maintenance and passionate about providing troubleshooting support
• Experience in IT audit or CISA/CISM certified preferred or operational risk management and control self-assessment or prior experience in implementing security solution and information security governance
• Enterprise Data Network (administration, patching, upgrade and migration activities), Design, Preparing of HLD/LLD, Implementation Team leading, Service Level management, demand, incident, change management.
• Cisco/Aruba Switching /Routing & WLAN
• DDI, AAA/Cisco ISE
• Network Automation: Python & Ansible
• As Built, LLD, Testing & Acceptance Testing Documentation Skills
• ZScaler & Network Security
• Certification: CCNP/CCDA equivalent
• Meraki, Palo alto, f5 loadbalancer, UTP
• Provide network WAN/LAN design, implementation, consulting, Cisco, Aruba, Juniper
• Network audit Identify the gaps and suggest the remedial solution. Supporting in RFP/RFI response.
• Experience in running operations with ITIL processes / Project Management - PMP

• Infrastructure setup, design, and performance should be planned, built, and optimized.
• Manage the backend information systems, such as the virtualization platform and virtual machines, network storage, backup, and fiber channel switches.
• Extensive knowledge of administering Linux. must be at the expert level
• Strong network fundamentals – IPv4/IPv6 – addressing, NAT, Routing
• Strong understanding of High Availability setup for Linux/Windows applications (etc. webs, database)
• Troubleshooting and maintenance of networks and systems
• Good to have disaster recovery planning and execution
• Private cloud administration experience is a must – VMWare / Hypervisor
• In-depth experience in DNS, DHCP, Proxies, Linux firewalls & network security is a must.
• Maintain and Administer Security Appliances of different projects
• Design and propose a plan that will improve the hosting service of the Data Center

Job Description

About the job:

• Work along with the Project team in the DevOps environment.

• Guiding the continuous integration, continuous deployment and continuous testing.

• Work closely with the development team and operation team to create DevOps strategy and toolset that suits the individual squads.

• Setup, deploy and maintain scalable, high availability systems

• Perform and automate deployment and security hardening of systems

• Automate and build up scalable containerized systems/environment using latest technologies (e.g. Redhat Openshift, MLOps tools, etc)

• Automate security hardening in testing, deployment and production setup based on industrial best practices

• Setup and maintain CI/CD, automated testing, development, and delivery environments

• Writing scripts/programs for service monitoring and health check of systems

• Day-to-day monitoring, backup, deployment, and maintenance of systems

About You:

• Experience with cloud orchestration, configuration management and auto-scaling techniques

• Experience on building and developing CI/CD pipeline and workflow (Gitlab CI/CD preferred)

• Experience on building and managing container image pipeline

• Experience with automation tools such as Ansible/Terraform

• Experience with installation and configuration of Redhat SSO

• Experience with load balancing setup for TCP/IP, HTTP, DNS, routings

• Knowledge of IT security standards, such CIS

• Good hands-on experience on using Infra-as-a-Code for configuration management and application deployment

• Overall knowledge on one or more of the following programming languages (Java, Python)

• Knowledge on continuous integration, test automation, version control, and software configuration management.

• Knowledge of machine learning and setup of MLOps tools such as H2O

Desired Background:

• Diploma/Degree in Electrical Engineering, Computer Science, Communications Engineering or equivalent

• Minimum 3 years in software development industry or server infrastructure setup

• Experience in software-defined infrastructure (OpenStack).

• Experience with infrastructure provision tools (Docker, Ansible, etc).

• Good understanding of hardware infrastructure systems (network switches, firewalls, routers etc.) and Linux operating system.

• Basic understanding of DevOps principles and practices. Knowledge in DevSecOps will be an added advantage.

• Self-motivated and good communication skills. Good hands-on experience on using AWS Cloud Formation scripts for configuration management and application deployment.

• At least 1-year experience working closely with infrastructure. Experience in Linux, Windows, network troubleshooting is a plus,

• Experience on working in an Agile environment, in a close collaboration with developers, Knowledge on continuous integration, test automation, version control, and software configuration management.

• Excellent communication skills.

EA Number: 11C4879

Our client is a prominent construction firm in Singapore, offering comprehensive and integrated services within the construction sector.

• Coordinate design drawings with consultants to adhere with requirements of the authorities.
• Review and give solutions to technical problems and plan, monitor and report shop drawing production progress.
• Handle technical submissions for materials, construction methods and C&S shop drawings.

Requirements:

• Professional Engineer Registered with the PE Board.
• Degree in Civil Engineering or equivalent.
• At least 3 years of design working experience with main contractors.
• Familiar in British and Singapore Design Standards.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

Our client specializes in power solutions, ensuring the delivery and maintenance of electrical supply.

• Perform technical assistance for different components and systems in power management and backup solutions.
• Liaise with end-users for on-site installation, commission, repair and maintenance.
• Ensure on-site work are carried out in safe manner and comply to safety measures.
• Monitor on maintenance contract to ensure work is carried out timely.

Requirements:

• Diploma in Electrical/Electronics Engineering or equivalent.
• At least 4 years of experience in offering technical support in the UPS/DC Power sector.
• Strong interpersonal, communication and presentation skills.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

• Work closely with project team to assist Quality and Validation Manager Asia region to the tasks on schedule and within quality standard compliance.
• Responsible completion of the Quality, Cost, and Time validation functions for customer projects.
• Create and maintain qualification/validation documentation for mechanical, software, and hardware components from the design phase of projects.
• Oversee the qualification and validation processes for projects in conducting risk analysis, protocol drafting, and test implementation during FAT & SAT process internally and partners’ sites.

Requirements:

• Diploma in Mechanical Engineering or equivalent
• At least 2 years of quality and validation of automated systems experience.
• Proficient in MS Office (Excel, Word and PowerPoint).

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R24120303

• Handle schedule work in accordance with the master and detailed work program.
• Manage technical and engineering problems.
• Liaise with consultants for technical issues and organise site activities with subcontractors.
• Maintain quality standards and perform site inspections and resolve technical issues on time.

Requirements:

• Degreein Civil Engineering recognised by Singapore PE Board.
• Registered Resident Engineer with IES/BCA.
• At least 3 years of relevant working experience preferably in handling LTA projects.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

• Identify and resolve problems with marine motors, auxiliary engines, steering systems, and other related components.
• Repair inboard and outboard engines, focusing on fuel, cooling, and exhaust systems.
• Perform regular maintenance to ensure the proper functioning of all shipboard systems.

Requirements:

• Diploma in Marine Engineering or equivalent.
• At least 2 years of nautical maintenance and repair experience.
• Skilled in using diagnostic tools and marine service equipment.
• Good understanding of marine engines, auxiliary engines, and cargo pumps.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701
Registration: R21100996

Zuhlke is at an incredible time of growth. Having seen over 50 years of success in Europe, Zuhlke has brought its top-of-the-line offerings across continents to its Singapore, Hong Kong, and Vietnam offices. Taking the next step in its expansion, the Zuhlke Group announced the opening of a new site in Edinburgh, bringing its network up to 17 offices across 10 countries.

As a Data Consultant in Zuhlke Data & AI Practice in Asia, you will bridge the gap between business and technology, grounded in reality. Ultimately, you play a large part in the success of our Asia office. Your job is to help guide customers often disconnected streams of thought into a cohesive understanding of what their most important goals are, how data and AI can help them achieve this and map it onto a technology stack to support data driven decision making. You will be a trusted advisor for business decision makers embarking on their data journey.

This is a multi-faceted, exciting role where you’ll have a very real impact in establishing our Asia team as a big success story within the Zuhlke Group. This is a fantastic opportunity to accelerate your career with the large amount of responsibility and personal development we will provide.

This is a Singapore-based role and occasional travel may be required.

Your job.

• Working in a consulting capacity, you will develop new business models and processes for and together with customers to pave the way for data-driven developments. You accompany them from the idea to the customised tailored solution through to operation/further development.
• You view AI technologies as tools to enable fact-based decisions, optimize processes or develop new products and services. With this mindset, you recognize the potential of our customers businesses to generate real value with these tools
• In AI projects and programmes, you implement Zuhlke's holistic approach by considering all relevant levels and disciplines such as data platforms, data governance, algorithms and use cases and by moderating the collaboration of relevant experts. This ensures the success of the project and the generation of business value
• You enjoy communicating with decision-makers at our customers - and you like positioning our AI offering and thus actively developing our AI business
• You are active both internally and externally as an ambassador for our discipline AI and further develop our offerings and our expertise. You will position yourself as a thought leader for your special field in AI and help to develop young talent.

Your talent.

• You have at least 10 years of experience and at least 5 years working in IT Services/Consulting.
• You possess the relevant consulting background and are familiar with workshop facilitation, innovation methods and the basics of business models.
• You bring experience across various projects in the areas of Data, Machine Learning and/or Artificial Intelligence.
• You have strong experience in being client-facing. Your experience also demonstrates a track record for strong sales and pre-sales experience as well as overseeing client engagements/projects
• You have significant experience influencing C-Suite decision makers
• You have a strong understanding of the local market and landscape and are great at balancing professionalism with warmth and genuineness
• You enjoy keeping up with the latest technology trends .
• Excellent command of English is a must.

And Zuhlke.

At Zuhlke Asia you get the best of both worlds. You can leverage on the benefits of working in a stable, large, highly reputable company with a long history of success while enjoying the freedom and autonomy of working in a fast-growing start-up environment. Zuhlke offers you networked innovation power and the security of a long-running, international success story. We support your personal development with specialised workshops and active knowledge sharing among experts.

Your Role

As a Lead ML Engineer, you will play a leading role in operationalizing ML Models developed by UOB’s data scientists. You will serve as the focal point for ML model refactoring, optimization, containerization, deployment, and quality monitoring. Your main responsibilities will include:

• Conduct reviews for compliance of the ML models in accordance with overall platform governance principles such as versioning, data / model lineage, code best practices and provide feedback to data scientists for potential improvements
• Develop pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD vertical within the MLOps domain. This can include monitoring for data drift, triggering model retraining and setting up rollbacks.
• Optimize AI development environments (development, testing, production) for usability, reliability and performance.
• Have a strong relationship with the infrastructure and application development team in order to understand the best method of integrating the ML model into enterprise applications (e.g., transforming resulting models into APIs).
• Work with data engineers to ensure data storage (data warehouses or data lakes) and data pipelines feeding these repositories and the ML feature or data stores are working as intended.
• Evaluate open-source and AI/ML platforms and tools for feasibility of usage and integration from an infrastructure perspective. This also involves staying updated about the newest developments, patches and upgrades to the ML platforms in use by the data science teams.

Technical Skills

• At least 10 years of experience as a ML Engineer, working with Python, ML libraries, and large-scale data processing framework.
• Advance proficiency in Python used both for ML and automation tasks.
• Experience in working with ML libraries such as Panda, NumPy, H2O, or TensorFlow.
• Experience in working with large-scale data processing framework, such as Hadoop, Spark, or Dask.
• Knowledge of OpenShift / Kubernetes is a must-have.
• Good knowledge of Bash and Unix/Linux command-line toolkit is a must-have.
• Hands on experience building CI/CD pipelines orchestration by Jenkins, GitLab CI, GitHub Actions or similar tools is a must-have.
• Knowledge in the operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g., Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, Dataiku, H2O, or DKube).
• Knowledge of Workflow Orchestrator, such as Airflow or Ctrl-M.
• Knowledge of Logging and Monitoring tools, such as Splunk and Geneos.
• Experience in defining the processes, standards, frameworks, prototypes and toolsets in support of AI and ML development, monitoring, testing and operationalization.
• Experience in ML operationalization and orchestration (MLOps) tools, techniques and platforms. This includes scaling delivery of models, managing and governing ML Models, and managing and scaling AI platforms.
• Knowledge of cloud platforms (e.g. AWS, GCP) would be an advantage.

Soft Skills

• Good knowledge of Devops process and principles
• Strong in Software Engineering fundamentals
• Excellent communication skills
• Attention to detail
• Analytical mind and problem-solving aptitude
• Strong Organizational skills
• Visual Thinking

Your Role

As a Lead Data Engineer, you will play a leading role in designing, building, and optimizing our data infrastructure, ensuring that it supports the advanced analytics need of the bank. You will oversee a team of data engineers, working closely with data analysts, DevOps team, infrastructure engineers, and other stakeholders to deliver high-quality data solution.

Your main responsibilities will include:

· Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data.

· Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data.

· Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch.

· Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions.

· Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques.

· Optimize data engineering workflows for containerized deployment and efficient resource utilization.

· Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability.

· Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements.

· Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure.

· Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference.

· Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps.

· Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank.

Requirements

· Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.

· At least 10 years of experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments.

· Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Ranger, etc)

· Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes.

· Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java.

· Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)

· Experience with Grafana, Prometheus, Splunk will be an added benefit

· Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges.

· Excellent collaboration and communication skills to work effectively with cross-functional teams.

· Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment.

· Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus.

About the job

As a Machine Learning Data Engineer at CAG, you will be responsible for designing, implementing, and maintaining the data pipelines and infrastructure that support our machine learning projects. You will work closely with data scientists, machine learning engineers, cloud engineer and other cross-functional teams to ensure the availability, reliability, and performance of our data systems. Your role will be critical in enabling the development and deployment of advanced machine learning models that drive key business insights and innovations.

This role requires a blend of technical expertise, project management skills, and the ability to deliver robust, scalable data solutions in a fast-paced environment.

Responsibilities:

1. Architect and implement scalable data solutions to address complex business challenges, leveraging advanced analytics, statistical methods, and machine learning techniques. Apply advanced data preprocessing, transformation, and enrichment techniques to ensure high-quality inputs for machine learning models.
2. Partner with data scientists and ML engineers to translate data requirements into actionable insights, optimizing feature engineering processes and model deployment strategies.
3. Construct and manage modern data infrastructure, including data warehouses and data lakes, to facilitate seamless data access for analysis and model training.
4. Continuously optimize data pipelines for performance, scalability, and cost-effectiveness, considering factors such as data volume, processing speed, and resource utilization.
5. Collaborate closely with DevOps and IT teams to ensure smooth deployment, monitoring, and maintenance of data pipelines in production environments.
6. Work cross-functionally to ensure adherence to data governance, security, and privacy regulations.
7. Stay at the forefront of data engineering and machine learning advancements, driving the adoption of best practices within the team.
8. Mentor junior team members and contribute to the overall data strategy of the organization.

Requirements:

1. Bachelor's or Master's degree in Computer Science, Engineering, or a related field with at least 5 years’ work experience
2. Extensive hands-on experience with cloud platforms, particularly AWS and GCP, including their data services and analytics offerings.
3. Strong coding skills with proficiency in:Infrastructure as Code (e.g., Terraform, CloudFormation)
   Shell scripting
   Python
   SQL
   
4. Deep understanding of big data technologies, distributed computing, and modern data architecture patterns. Proven track record in designing and implementing large-scale data solutions, including data pipelines, data warehouses, and data lakes.
5. Demonstrated ability to successfully deliver projects, meet milestones, and drive initiatives from conception to production.
6. Experience with data streaming technologies (e.g., Kafka, Kinesis) and batch processing frameworks (e.g., Spark, Hadoop).
7. Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
8. Strong problem-solving skills and ability to translate complex business requirements into technical solutions.
9. Excellent communication skills with the ability to collaborate effectively across cross-functional teams.

• Have a solid technical skill with diversity of thought and creative solutions that are in the best interests of our customers globally.
• Develop, test, and debug automated tasks (Apps, Systems, Infrastructure)
• Troubleshoot priority incidents, facilitate blameless post-mortems.
• Work with development teams throughout the software life cycle ensuring sustainable software releases.
• Perform analytics on previous incidents and usage patterns to better predict issues and take proactive actions.
• Build and drive adoption for greater self-healing and resiliency patterns.
• Lead and participate in performance tests; identify bottlenecks, opportunities for optimization, and capacity demands.
• Adhere to firm-wide architecture standards, risk management and security policies.
• Team player and ability to work in Global Team setup, product owners and business team to develop, build & support application.
• Communicate and collaborate on development items with global team, as well as raise/work to resolve issues impacting development.
• Postproduction application support
• Participate in quality assurance, peer reviews and code reviews Qualifications.
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
• A successful history of manipulating, processing, and extracting value from large datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Strong understanding of DevOps practices, tools, and techniques.
• Degree in Computer Science/ IT or other related fields
• Experienced deploying application in a containerized environment using Docker/Kubernetes/PCF/Openshift/AWS etc.
• In-Depth OS experience (RHEL, Ubuntu, Windows Server) with strong debugging, troubleshooting, and problem-solving skills.
• Experience in site reliability engineering in one of the following languages: Python, Java, PowerShell, shell scripting.
• Hand-on experience with cloud-based technologies and tools especially in deployment, monitoring and operations, such as Prometheus, Splunk, Elasticsearch, Grafana
• Strong working knowledge of modern development technologies and tools such Agile, CI/CD, Git, Terraform and Jenkins.
• Good understanding of networking protocols and cybersecurity best practices in public cloud environment
• Advanced working SQL knowledge and experience working with RDBMS, Hadoop, and NoSQL DB.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management.