Total 23 Solution Architect job vacancies in Maintenance / Repair category in Malaysia

職責：

• 就電子設備、組件、電路、半導體和系統提供建議和設計。
• 規定電子產品的生產或安裝方法、材料和品質標準。
• 監督電子產品和系統的生產或安裝工作。
• 建立控制標準和程序，確保電子系統的高效運作和安全。
• 協調和監督現有電子系統和設備的維護和修理。
• 設計和開發訊號處理演算法，透過硬體和軟體實現它們。

要求：

• 精通英語、馬來語和華語。
• 正向的態度，協作心態，較強的人際溝通能力。
• 優秀的書面和口頭溝通能力。
• 適應變化和尋找替代解決方案的能力。
• 批判性思考和解決問題的能力。
• 表現出領導能力。
• 對適用的系統自動化和業務解決方案軟體有豐富的了解。

津貼和福利：

• 全面的員工福利（EPF、SOCSO、EIS 等）
• 事假（年假、病假、住院假等）
• 津貼（醫療保險及索賠）
• 提供培訓。
• 公司旅行。
• 年度獎金。
• 加班費

Responsibilities:

• Advise on and design electronic devices, components, circuits, semiconductors, and systems.
• Specify production or installation methods, materials, and quality standards for electronic products.
• Oversee the production or installation work of electronic products and systems.
• Establish control standards and procedures to ensure the efficient functioning and safety of electronic systems.
• Coordinate and oversee the maintenance and repair of existing electronic systems and equipment.
• Design and develop signal processing algorithms, implementing them through hardware and software.

Requirements:

• Fluent in English, Bahasa Malaysia, and Mandarin.
• Positive attitude, collaborative mindset, strong interpersonal skills.
• Excellent written and verbal communication skills.
• Adaptability to change and ability to find alternate solutions.
• Critical thinking and problem-solving skills.
• Demonstrated leadership skills.
• Strong knowledge of applicable system automation and business solution software.

Perks & Benefits:

• Comprehensive Staff Benefits (EPF, SOCSO, EIS etc.)
• Personal Leave (Annual Leave, Medical and Hospitalization Leave etc.)
• Allowance (Medical Insurance & Claim)
• Training Provided.
• Company Trip.
• Annual Bonus.
• Overtime Pay

CCTV Technician | Smart Home Solution | Electrical study | Tampines

Working Hours: 9.30am-5.30pm (Mon-Fri) + alt Full Sat
Salary : $2400-$2800
Location : Tampines (Travel to Site)

Job Description:

• Assist in installation, testing, commissioning and troubleshooting
• CCTV / Electrical Wiring / Cabling installation/ Electronic Circuit/ Door Access System/Smart Home & Lighting System
• Assist in Delivery, installation and troubleshooting of Safe/ Vault Equipment/ Compactus
• Site coordination for Performing Daily Corrective and Preventive Maintenance
• Other ad-hoc duties as assigned.

The Supreme HR Advisory Pte Ltd | 14C7279

Ong Boon Kiet (Travys) | R22104769

Senior Recruitment Consultant

CCTV Technician | Smart Home Solution | Electrical study | Tampines

Working Hours: 9.30am-5.30pm (Mon-Fri) + alt Full Sat
Salary : $2400-$2800
Location : Tampines (Travel to Site)

Job Description:

• Assist in installation, testing, commissioning and troubleshooting
• CCTV / Electrical Wiring / Cabling installation/ Electronic Circuit/ Door Access System/Smart Home & Lighting System
• Assist in Delivery, installation and troubleshooting of Safe/ Vault Equipment/ Compactus
• Site coordination for Performing Daily Corrective and Preventive Maintenance
• Other ad-hoc duties as assigned.

The Supreme HR Advisory Pte Ltd | 14C7279

Ong Boon Kiet (Travys) | R22104769

Senior Recruitment Consultant

Astek is offering a role of ML Architect for our projects based in Singapore.

Responsibilities:

• Defining the processes, standards, frameworks, prototypes and toolsets in support of AI and ML development, monitoring, testing and operationalization. This includes decisions around leveraging open-source, augmented ML, pretrained ML models or integrated AI PaaS solutions.
• Establishing operational efficiency in AI initiatives by becoming the liaison with and developing a feedback loop between data science development and business use cases to ensure delivery of business value.
• Architecting, designing, directing and leading AI and ML solutions that are scalable, fault-tolerant and low-bias and that can be integrated and operationalized using available tools and resources.

Requirements:

• Minimally 8 years of relevant experience
• Knowledge 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
• Be familiar with ML algorithms, AI use cases and applications. Should have an understanding of, but not expertise in, open-source high-code frameworks like PyTorch or TensorFlow, augmented AI and ML platforms, pretrained ML models and integrated AI PaaS tools.
• Have experience in designing system that leverages Big Data Processing framework, such as Spark
• Have experience in designing system that leverages Containerization platform, such as OpenShift or Kubernetes
• Have knowledge about Machine Learning and Data Science concepts, tools and automation processes.
• Have experience in defining the processes, standards, frameworks, prototypes and toolsets in support of AI and ML development, monitoring, testing and operationalization.

• Assemble electrical panel including fabrication and wiring according to the design and specification so as to meet the project requirements.
• Perform Control Panel electrical assembly work (drilling, mounting parts, wiring, testing, troubleshooting).
• Assist in handling electrical issues.
• Inspect circuit breakers and other electrical components. .
• Troubleshoot panels as needed to eliminate wiring errors and component malfunctions.
• Ensure all duties are performed in accordance with all company policies and procedures.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is seeking a highly skilled and experienced Large Language Model (LLM) based Application Infrastructure engineer to join our growing team. The successful candidate will work at the intersection of GPU chip design and AI. You will be responsible for the design, development, and maintenance of the infrastructure around Nvidia's internal large language model aimed at facilitating chip design.

What you'll be doing:

• Develop and maintain the infrastructure for managing large language models (LLMs) based application specifically adapted for the chip design and hardware domain.

• Develop and maintain LLM based applications to serve hardware engineers, such as LLM based QA bot, code generator etc.

• Collaborate with HW chip designers and LLM research teams to understand the specific needs and challenges of GPU design and ensure the LLM infrastructure is well-suited to these needs.

• Collaborate with LLM research teams to collect & organize training / fine-tuning data to train hardware specific language model

• Optimize the infrastructure for performance, scalability, and reliability, and ensure the secure and efficient management of data.

• Stay updated with the latest industry trends in AI and machine learning, and continuously look for opportunities to apply these advancements to improve the LLM infrastructure.

What we need to see:

• BS in computer science or related or equivalent experience

• 5+ years experience

• Experience in developing and maintaining AI or machine learning infrastructure, preferably in the context of large language models.

• Strong proficiency in Python and web development, and familiarity with LLM related techniques e.g., langchain, vector database, prompt engineering, etc.

• Understanding of chip design and related computational and data challenges.

• Experience with data management, including doc cleaning, transformation, and secure storage.

• Excellent problem-solving skills and the ability to work effectively in a team.

• In depth understanding of Machine Learning / Deep Learning / NLP concepts.

Ways to stand out from the crowd:

• You crafted & developed production quality microservices

• Strong technical background in cloud/distributed infrastructure

• An excellent plus if you are familiar with front-end development using React or Vue.js

• Strong understanding of SQL & NoSQL Data platforms.

NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our exclusive engineering teams are rapidly growing. Are you a creative and passionate about applying Machine Learning to solve remarkably interesting problems? Are you interested in being involved in state-of-the-art development in the field of AI & love a challenge? If so, we want to hear from you!

The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Job Description

• Assist the Manager in the implementation of the Facility Management Enterprise System Platform and Facilities Maintenance Management System on site.
• Directly in charge of the implementation of IoT Sensors, Smart Meters, Facilities Maintenance Management System, etc on site.
• Assists in the collation and analysis of information from the FM Enterprise System to facilitate decisions and report for stakeholders.
• Assist the Manager to source, evaluating vendors and negotiating contracts to support project implementation.
• Management of project timeline and expectation, while building strong relationships in the process to achieve customer satisfaction
• Any other assignments as and when directed by the Management

Requirements

• Diploma in IT, Intelligent Building, Green FM, Building Services and with minimum 3 years of relevant work experience
• Candidate with IT and digital knowledge in built environment will be an advantage
• Good communication (written and version) skills and possess strong presentation skills
• Ability to multi-task and manage multiple projects simultaneously
• Passion in promoting digital transformation and technology solutions

Roles & Responsibilities

• Supervises daily and monthly planned periodic works allocated to Building.
• Reports in a timely manner all Building defects and reporting.
• To liase in house contractor on services failures e.g. air-conditioning, lighting, electrical and Elevator Lift.
• Carry out regular inspections to the building and its facilities to maintain serviceable condition.
• To supervise, coordinate and manage Contractor for the related period maintenance and repair work.
• To assign duties, inspect work performed in accordance with the daily Inspection Checklist.
• To ensure good safety practices in the course of work.
• Maintain a high standard of hygiene and cleanliness within the Building.
• Implement and improve work processes and service quality for the organization.
• Must have proficiency to speak English.

As a ML Platform Architect on the Central Software team, you will play a vital part in scaling machine learning (ML) efforts across Boston Dynamics.  In this role, you’ll design the tools, infrastructure, and pipelines that unify how our many product ML/RL engineers and researchers get stuff done. You’ll work at the forefront of robotics innovation, using your skills to empower teams shipping new robot capabilities. 

How you will make an impact:

• Own the overall design and long-term growth of an ML platform, including data management, compute for model training, deployment, and optimization.

• Work closely with ML/RL contributors across teams  to understand and prioritize needs

• Develop and propose strategies, leveraging on-premises and cloud-hosted resources, to address compute, storage, and networking capabilities for fast/flexible ML capabilities

• Propose and communicate roadmaps, schedules, and design concepts.  Align stakeholders' direction and priorities

• Work closely with ML Platform engineers to implement, deploy, and maintain designed infrastructure

• Serve as a technical resource to stakeholders across BD pursuing ML-enabled solutions

• Work closely with engineering leadership to identify and answer critical product questions

We are looking for:

• 8+ years experience as a ML platform engineer, Senior SWE / technical lead, or equivalent

• Experience effectively working in a large multi-language monorepos, including build technologies

• Proven track record developing, debugging, and deploying complex applications in Python, Julia, C++ or equivalent

• Demonstrated proficiency using ML libraries/frameworks (PyTorch, Tensorflow, Keras, Pandas, Numpy)

• Experience using hybrid infrastructure, combining on-prem and cloud (GCP, AWS, Azure) resources, for ML applications

• Demonstrated experience with scalable ML deployment methods (Docker, K8s, Ansible, Terraform)

• Experience with storage and data transformation technologies (S3, GCS, Airflow, Spark)

• Experience with Agile, Scrum or other lean methods.  Be able to work closely with high performing engineering teams

• Ability to work collaboratively in cross-functional teams

• Masters in Engineering, Computer Science, or other technical area

#LI-JM1

We are looking for a Machine Learning Engineer/Solution Architect with experience in deploying Machine Learning (ML), Deep Learning (DL) models on-prem and in the cloud. As part of the Solution Architecture organization, we work with the most sophisticated computing hardware and software, driving the latest deep learning and machine learning breakthroughs with NVIDIA’s enterprise customers. This role offers an excellent opportunity to build your career in the rapidly growing field of deep learning while enabling the world's most successful technology companies. Primary responsibilities will be to lead software/application customer technical engagements around NVIDIA products and technologies. Join us in this exciting endeavor!

What You’ll Be Doing:

• A considerable part of the day-to-day job is staying up to date on pioneering Deep Learning and Machine Learning ecosystems. You'll be called on to help architect and scale high-performance, distributed AI deployments on-prem or in the cloud built with the latest NVIDIA GPU supercomputers.

• Document what you know and teach others. This can vary from building targeted training for partners and other Solutions Architects to writing whitepapers, blogs, and wiki articles, to working through challenging problems with a partner on a whiteboard.

• Answer questions and provide mentorship. Work with Partner Business Managers to assist partners and customers on their critical projects. You will help them build their GPU and DPU-enabled Accelerated Compute datacenters or cloud services to get the most out of their investment.

• Lead and develop proofs-of-concept (PoCs) for solutions applied to enterprise and industrial applications such as LLM, NLP/NLU, recommender systems, image recognition, video analytics, and DPU applications.

• Support the business development team through the sales process for GPU/DPU/Network hardware/software products. Responsible for technical relationships and enabling customers to build innovative NVIDIA technology solutions.

• Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins for customers. Enable development and growth of NVIDIA product features through customer feedback and PoC evaluations.

What We Need To See:

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields or equivalent experience.

• 5+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow or PyTorch, GPU, and CUDA experience extremely helpful.

• Experience working with DevOps on-prem or in cloud environments, including but not limited to Docker/Containers, Kubernetes, cloud APIs, IaaS and Data Center deployments; additional experience with DPUs applications development will be beneficial.

• Deep understanding of dense data center design, including computing, storage, networking, cloud APIs, and IaaS.

• Ability to multitask efficiently in a dynamic environment.

• Strong analytical and problem-solving skills.

• Clear written and oral communication skills with the ability to effectively collaborate and coordinate across cross-functional teams in engineering, sales, marketing, product, and program management.

• Comfortable working in a customer-facing environment.

• C/C++ and Python programming skills.

Ways To Stand Out From The Crowd:

• Excellent customer-facing skills and background.

• Skilled in deploying ML/DL models at scale on cloud computing clusters in production.

• Development experience with NVIDIA software libraries and GPUs or DPUs.

• Knowledge of LLM, MLOps, DevOps, and Cloud-oriented workflows using Docker/containers, Kubernetes, cloud APIs, data center deployments, etc.

• Able to think creatively to debug and solve complex problems.

We make extensive use of conferencing tools, but occasional travel is required for a local on-site visit to customers and data science conferences.

With highly competitive salaries, a comprehensive benefits package, and an excellent engineering culture, NVIDIA is widely considered to be one of the technology industry's most desirable employers. NVIDIA has some of the most innovative people working on meaningful problems that define the field of ML/DL, data science, and graphics.

The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Job Description & Requirements

1. Onsite Testing & Commissioning of completed projects.
2. Responsible for troubleshooting equipment and system faults, provided AV & system solutions.
3. Responsible for testing of various types of cables/products before, during and after installation and rack assembly and equipment installation. Oversee the Onsite Testing & Commissioning of completed projects.
4. Supporting Preventative Maintenance, Setup and Operation of audio and video systems.
5. Perform system service up-gradation, Issue Management, troubleshoot incidents and Identify root cause.
6. Research, design and implement audio processing related modules. diagram for audio, video and control systems. Involved in construction of Engineering Design.
7. Any other ad-hoc duties if required.

• Setup and commissioning of copiers and software solutions at customer's premises
• Provide technical support, and attend to monthly servicing and maintenance of copiers and printers
• Troubleshooting and replacement of spare parts and consumables
• Attend to ad-hoc service and repair calls
• Indoor parts fabrication
• Maintain proper documentation for record purposes
• Guide customer on how to operate copier machines
• Liaise with customer on servicing details and provide professional advice
• Preferably with basic knowledge of printer service tools handling and printer software
• Customer service oriented with good communication skills
• Willing to travel island-wide
• Possess Class 2A/2B/3 driving license is an added advantage
• Minimum 3 years experience

• Provide high-level design and strategic guidance for the development of complex enterprise-wide applications.
• Develop and communicate architectural designs
• Evaluate and recommend appropriate technologies, frameworks, and platforms to support the development of enterprise applications.
• Establish and enforce architectural standards and best practices to maintain consistency and quality across applications and systems.
• Collaborate with stakeholders, development teams, and other architects to understand business needs and provide technical guidance throughout the project lifecycle.
• Identify potential risks and challenges associated with architectural decisions, and propose mitigation strategies to ensure project success.
• Create and maintain detailed architectural documentation, including diagrams, specifications, and guidelines for development teams to follow.
• Develop and communicate a technology roadmap that aligns with the long-term goals of the organization, ensuring that technology investments support business objectives.
• Contribute to the development and enforcement of governance policies related to application development, ensuring compliance with organizational standards.

Key Responsibilities:

As an LED Technician, you will be responsible for the installation, maintenance, and troubleshooting of LED lighting systems. Your role involves working with various LED technologies, ensuring optimal performance, and providing technical support as needed. This position requires a combination of technical expertise, problem-solving skills, and a commitment to delivering high-quality LED solutions.

1. Installation and Configuration:

· Install and set up LED lighting systems in accordance with specifications and industry standards.

· Configure LED controllers, drivers, and associated components to ensure seamless functionality.

2. Maintenance and Upkeep:

· Conduct routine inspections and maintenance of installed LED systems to identify and address any issues promptly.

· Replace faulty components and perform upgrades to enhance system performance.

3. Programming and Tuning:

· Program LED controllers and drivers to achieve desired lighting effects and meet customer requirements.

· Fine-tune LED systems for optimal brightness, color accuracy, and energy efficiency.

4. Troubleshooting:

· Diagnose and troubleshoot technical issues with LED installations.

· Collaborate with cross-functional teams to identify and implement effective solutions.

5. Quality Assurance:

· Ensure that all LED installations meet quality standards and comply with safety regulations.

· Conduct testing and validation procedures to guarantee the reliability of LED systems.

6. Documentation:

· Maintain accurate records of all installations, configurations, and maintenance activities.

· Create comprehensive documentation for reference and future troubleshooting.

7. Customer Support:

· Provide technical support to customers and address inquiries related to LED systems.

· Offer guidance on best practices for optimal system performance.

Qualifications:

· A minimum of 2 years of experiences in LED installation, programming, repair, and maintenance.

· High School diploma or equivalent: additional technical certifications are a plus.

· Strong understanding of electrical systems and wiring.

· Licensed Driver in Singapore with Lorry Driving experience is a plus.

· Effective communication skills for interacting with clients and team members.