Total 5 Project Engineer job vacancies in Maintenance / Repair category in Telok Panglima Garang

Job Responsibilities:

• Lead a team of maintenance technicians to perform routine maintenance tasks on production equipment to ensure optimal functionality
• Troubleshoot and repair mechanical, electrical, and pneumatic systems
• Conduct root cause analysis for equipment failures and implement corrective actions
• Collaborate with production teams to minimize downtime and maximize productivity
• Develop and implement preventive maintenance schedules to prevent breakdowns
• Identify opportunities for process improvements and efficiency enhancements

Job Requirements:

• Min Diploma/Degree in Mechanical Engineering or related field
• Able to liaise with Mandarin speaking production workers
• Strong knowledge of mechanical, electrical and pneumatic systems
• Ability to read and intepret technical drawings and schematics
• Willingness to work flexible hours and respond to emergency maintenance calls

The Role:

You'll be an experienced software engineer with machine learning concept. Working in an agile cross-functional team, you will contribute to the development of complex features to ensure Dyson continues to create innovative products that will delight our customers.

You'll collaborate with architects, software engineers, machine learning engineers, and platform engineers to help solve the wide and exciting range of edge devices’ challenges posed by the ever expanding Dyson product portfolio.

You'll have a desire to explore and share ideas and techniques across different technical domains and will ideally have expert knowledge of software development for complex, sophisticated systems including deep learning IPU, embedded software, camera/sensors components with a focus on model deployment on embedded system software and cloud computing.

Key Responsibilities:

• Ability to design and deploy proposed machine learning algorithm/model onto target platform efficiently.
• Work closely with architects, algorithm engineers, and platform engineers to implement and deploy machine learning models on embedded system and optimize product performance accordingly.
• Understand necessary data and AI requirements to implement and deploy machine learning applications; ensure machine learning applications are available to products via well-defined APIs
• Lead system design of data pipeline to facilitate repetitive machine learning model performance turning
• Identify key enabler and risk areas of proposed algorithmic solutions.
• Work with the architecture team and product management to identify the feature development roadmap.
• Develop prototype demonstrators utilising rapid prototyping techniques for quick evaluation.
• Manage the entire life cycle of multiple related complex modules and systems, including feature discussion, algorithmic analysis, documentation, design, coding, testing, maintenance, and result tracking
• Involve in continuous integration and continuous delivery (CI/CD) infrastructure/environment setup
• Good product sense and keen focus on product performance.
• Act as subject matter expert (SME) in specific domain, disseminating knowledge, guiding and mentor engineers in methodology, best practice and standards
• Proactively identify technical risks within projects and influence engineering teams in their resolution
• In-depth participation in feature design discussions will be required

Key Skills / Experience

• A bachelor's degree or higher in Computer Science, Electronics Engineering, Computer Engineering, Applied Mathematics or robotics engineering with strong quantitative background.
• Strong knowledge in image classification, segmentation, embedding and feature extraction
• Industry experience in building innovative end-to-end machine learning systems
• 1+ years of experience in computer vision/ML application software development and performance tuning.
• Experience in building, deploying and optimizing machine learning algorithms, especially deep learning and convolutional neural network.
• Solid understanding and hands-on experience of machine learning fundamentals, such as data visualisation, data cleaning, SVM, random forest, model ensemble, AdaBoost, deep learning deployment etc.
• Experience in integration and deployment of computer vision applications onto embedded system products or edge devices is highly desirable.
• Proficient in machine learning libraries, such as OpenCV, dlib, scikit-learn, numpy or scipy, etc.
• Proficiency in multithreading programming and synchronisation mechanisms.
• Good command of object oriented programming capability, including speed and overall quality; specifically, must be able to write high performance product quality codes with C++ and Python
• Familiar with STL, boost C++ libraries, design patterns and able to enforce it in day-to-day tasks.
• Comfortable and familiar with embedded system programming under Linux environment for machine learning model deployment and performance tuning.
• Experience in AWS, Google Cloud or Microsoft Azure cloud service is a plus
• Good problem-solving and troubleshooting attitude with excellent analytics skills
• The ability to learn continuously and improve oneself.
• Experience in Agile practices is a plus.
• Professionalism and excellent communication skills; ability to communicate complex information to both technical and non-technical stakeholders.
• Optimism and an excitement about collaborating with teammates and interdisciplinary teams, and technically support development.
• For a highly experienced candidate, we expect excellent technical guidance skills and the ability to influence the work of others. Experience in over-sighting high complexity software development projects is an advantage
• Independent, Integrity and self-driven with a strong focus on results to ensure that the whole team succeeds in its goals.
• Fluent in spoken and written English.

The Role:

You'll be an experienced software engineer with machine learning concept. Working in an agile cross-functional team, you will contribute to the development of complex features to ensure Dyson continues to create innovative products that will delight our customers.

You'll collaborate with architects, software engineers, machine learning engineers, and platform engineers to help solve the wide and exciting range of edge devices’ challenges posed by the ever expanding Dyson product portfolio.

You'll have a desire to explore and share ideas and techniques across different technical domains and will ideally have expert knowledge of software development for complex, sophisticated systems including deep learning IPU, embedded software, camera/sensors components with a focus on model deployment on embedded system software and cloud computing.

Key Responsibilities:

• Ability to design and deploy proposed machine learning algorithm/model onto target platform efficiently.
• Work closely with architects, algorithm engineers, and platform engineers to implement and deploy machine learning models on embedded system and optimize product performance accordingly.
• Understand necessary data and AI requirements to implement and deploy machine learning applications; ensure machine learning applications are available to products via well-defined APIs
• Lead system design of data pipeline to facilitate repetitive machine learning model performance turning
• Identify key enabler and risk areas of proposed algorithmic solutions.
• Work with the architecture team and product management to identify the feature development roadmap.
• Develop prototype demonstrators utilising rapid prototyping techniques for quick evaluation.
• Manage the entire life cycle of multiple related complex modules and systems, including feature discussion, algorithmic analysis, documentation, design, coding, testing, maintenance, and result tracking
• Involve in continuous integration and continuous delivery (CI/CD) infrastructure/environment setup
• Good product sense and keen focus on product performance.
• Act as subject matter expert (SME) in specific domain, disseminating knowledge, guiding and mentor engineers in methodology, best practice and standards
• Proactively identify technical risks within projects and influence engineering teams in their resolution
• In-depth participation in feature design discussions will be required

Key Skills / Experience

• A bachelor's degree or higher in Computer Science, Electronics Engineering, Computer Engineering, Applied Mathematics or robotics engineering with strong quantitative background.
• Strong knowledge in image classification, segmentation, embedding and feature extraction
• Industry experience in building innovative end-to-end machine learning systems
• 1+ years of experience in computer vision/ML application software development and performance tuning.
• Experience in building, deploying and optimizing machine learning algorithms, especially deep learning and convolutional neural network.
• Solid understanding and hands-on experience of machine learning fundamentals, such as data visualisation, data cleaning, SVM, random forest, model ensemble, AdaBoost, deep learning deployment etc.
• Experience in integration and deployment of computer vision applications onto embedded system products or edge devices is highly desirable.
• Proficient in machine learning libraries, such as OpenCV, dlib, scikit-learn, numpy or scipy, etc.
• Proficiency in multithreading programming and synchronisation mechanisms.
• Good command of object oriented programming capability, including speed and overall quality; specifically, must be able to write high performance product quality codes with C++ and Python
• Familiar with STL, boost C++ libraries, design patterns and able to enforce it in day-to-day tasks.
• Comfortable and familiar with embedded system programming under Linux environment for machine learning model deployment and performance tuning.
• Experience in AWS, Google Cloud or Microsoft Azure cloud service is a plus
• Good problem-solving and troubleshooting attitude with excellent analytics skills
• The ability to learn continuously and improve oneself.
• Experience in Agile practices is a plus.
• Professionalism and excellent communication skills; ability to communicate complex information to both technical and non-technical stakeholders.
• Optimism and an excitement about collaborating with teammates and interdisciplinary teams, and technically support development.
• For a highly experienced candidate, we expect excellent technical guidance skills and the ability to influence the work of others. Experience in over-sighting high complexity software development projects is an advantage
• Independent, Integrity and self-driven with a strong focus on results to ensure that the whole team succeeds in its goals.
• Fluent in spoken and written English.

About Infosys:

Infosys is a global leader in next-generation digital services and consulting. We enable clients in 46 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.

Short Description:

If your passion is to build solutions that really make a difference to enterprises, the community and your world, Infosys is the right place for you.

We are looking for a hands-on machine learning engineer who is passionate about

designing, developing, and fielding intelligent solutions that have direct and measurable

Product Quality impact to Apple. You will help to identify viable data mining opportunities and

then implement end to end analytical solutions. You should possess a broad knowledge of

existing machine and deep learning algorithms and the creativity to invent and customise

when necessary.

Language

- Proficient in spoken and written Chinese and English

Responsibilties

- Conceive and design end to end machine learning solutions to support Apple's business

units

- Work with stakeholders to map business requirements into technical solutions

- Develop and implement solutions to fit business problems, which may include applying

algorithms from a standard tool or custom algorithm development

- Implement entire ML pipeline from data pre-processing and feature engineering through

model building to model evaluation

- Work closely with data warehouse architects and software developers to generate flawless

business intelligence solutions for end users

- Perform ad-hoc statistical and data science analysis

- Design model evaluation techniques and present results of analysis to business units

Education

- BTech/BE in Computer Science

- Certifications in Machine Learning, Data Science, Artificial Intelligence, Computational

Linguistics or related fields

Infosys is an equal opportunity employer and positively encourages applications from suitably qualified and eligible candidates regardless of gender or other attribute covered by equal opportunity legislation.

Please note to protect the interest of all parties involved in the recruitment process, Infosys does not accept any unsolicited resumes from third party vendors. In the absence of a signed agreement any submission will be deemed as non-binding and Infosys explicitly reserves the right to pursue and hire the submitted profile. All recruitment activity must be coordinated through the Talent Acquisition department.

All aspects of employment at Infosys are based on merit, competence, and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.

Are you passionate about AI and fintech? Do you want to join a company that is building cutting-edge technology to transform the financial industry and empower traders? If yes, then we have an exciting opportunity for you!

We are looking for talented and motivated individuals who share our vision and want to make a difference in the world .

As a part of our team, you will work on challenging and rewarding projects that involve developing, testing, and deploying AI solutions for various fintech applications. You will also collaborate with other experts in the field and learn from their experience and insights.

We are looking for a machine learning engineer to join our team and help us develop and deploy innovative solutions for various business problems. You will be responsible for designing, building, testing, and maintaining machine learning models and pipelines that can handle large-scale data and deliver high-quality results.

## Responsibilities

- Understand the business requirements and objectives of the projects and translate them into machine learning problems.

- Research, evaluate, and implement state-of-the-art machine learning algorithms and frameworks for various tasks such as classification, regression, clustering, anomaly detection, natural language processing, computer vision, etc.

- Develop and optimize data processing and feature engineering pipelines to prepare data for machine learning models.

- Train, validate, and test machine learning models using appropriate metrics and methods.

- Deploy and monitor machine learning models in production environments using cloud platforms and tools.

- Communicate and collaborate with other engineers, data scientists, product managers, and stakeholders to deliver end-to-end solutions.

## Requirements

- Bachelor's degree or higher in computer science, engineering, mathematics, statistics, or related fields.

- Proven experience in developing and deploying machine learning solutions using Python, TensorFlow, PyTorch, Scikit-learn, or other frameworks and libraries.

- Solid understanding of machine learning concepts, techniques, and best practices such as data preprocessing, feature engineering, model selection, hyperparameter tuning, validation, testing, etc.

- Familiarity with cloud platforms and services such as AWS, Azure, Google Cloud, etc. for machine learning applications.

- Experience with SQL and NoSQL databases and big data technologies such as Spark, Hadoop, Kafka, etc. is a plus.

- Excellent communication and presentation skills and ability to work in a team.