Total 367 Learning Development job vacancies in Maintenance / Repair category in Malaysia

COMPANY DESCRIPTION

Beyondsoft International (Singapore) Pte. Ltd. was set up in 2007 and established as the regional headquarters for the Southeast Asia (SEA) and European markets in September 2015. Based on our vision of "Using technology to promote social progress, economic development and become a global customer preferred partner" and our concept of "Beyond your expectations", Beyondsoft is committed to provide our customers in countries along the "Belt and Road" with comprehensive solutions and products and creating commercial value for customers to realizing continuous businesses development.

Our core business includes:

1. IT development services providing customers with IT consulting, software research and development, software and hardware testing, system integration and operation and maintenance, data analysis and other services;
2. New retail solutions and products through intelligent products, helping small and medium-sized enterprises (SMEs) realize the digital transformation of their daily operations;
3. Internet of Things (IoT) platform and solutions comprehensive use of IoT, artificial intelligence, big data, cloud computing and other technologies to provide IoT solutions for intelligent upgrades in cities, parks, buildings and industries, to create a smart future.

For more information, please visit www.beyondsoft.com.

RESPONSIBILITIES

As a Machine Learning Engineer, you will be responsible for designing and implementing machine learning algorithms and systems. You will collaborate with cross-functional teams to integrate AI capabilities into our products and services. Your main tasks will include developing machine learning models, conducting experiments, and deploying scalable machine learning solutions.

Role Responsibilities

• Design and develop machine learning algorithms and systems.
• Analyse and interpret complex datasets to improve model accuracy.
• Optimize algorithms for performance and scalability.
• Collaborate with other teams to integrate AI/ML capabilities.
• Maintain and improve existing machine learning systems.

QUALIFICATIONS

• Bachelor's Degree in Information Technology, Computer Science or relevant studies
• Minimum 2 years of relevant experience as Machine Learning Engineer
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch)
• Strong programming skills in Python, Java, or C++
• Understanding of data structures, data modelling, and software architecture
• Excellent problem-solving and analytical skills
• Experience in banking & finance domain required

Please note that your application will be sent to and reviewed by the direct employer - Beyondsoft International (Singapore) Pte Ltd

• Develop machine learning models for EEG/EMG/EOG brain signal recognition, to predict user states such as focus, stress, emotion, sleep stages, and other relevant information
• Analyze, apply signal processing algorithms to, or build models for large amounts of data from different sources that provide insights into user's states and behaviors
• Develop and maintain recommendation systems and health assistants using advanced machine learning techniques
• Research brain and auditory stimulations for sleep enhancement, cognitive function improvement, psychology treatment and other unlocking brain potentials
• Work closely with other team members, including neuroscientists, software engineers, and product managers, to deliver high-quality products and services
• Collaborate with cross-functional teams to develop and implement algorithms and models to solve complex problems.

• Opportunity to learn and develop, chance to companion with a potential company
• Free lunch at office, free motorbike parking
• Working in a young and professional environment.
• Staying in a friendly and spiritual space (weekly tea break, weekly sports time and annual holiday).
• Creating impactful products for community 
• Obtaining guidance and awareness of advanced technologies.
• Have chance to own company shares after 12 months; 
• Receiving social insurance according to Vietnamese Government regulations.

We are looking for highly motivated fresh graduates to start a career as a Machine Learning Engineer. We have designed a specific learning program to accelerate the young and talented graduates to enter and start their careers with the aspiration to empowering breakthrough innovation in Financial Services!

WHO IS KLAARA

KLAARA provides AI-driven solutions tailored to the needs of customers in the capital market, insurance, reinsurance, and various other organizations. Our cutting-edge platform empowers businesses to transform their unstructured data into actionable intelligence, fuelling better decision-making and driving competitive advantage.
Headquartered in Singapore, KLAARA was launched in 2023 as a result of 3 years of Research and Development and a spin-off of Upskills, a consultancy company in Capital markets.

KLAARA is composed of creative thinkers and problem solvers, with the ultimate mission to breakthrough innovation! All of us are fully engaged in delivering cutting-edge solutions with the latest state of the art in AI.

Our DNA is reflected in our values, these are how we act every day to make the greatest impact on what we are doing!

· We ask “Why not”.

· We constantly learn and grow.

· We care for one another.

· We cherish honest and respectful conversations.

· Positive energy and proactivity are the foundations of our team.

· Excellence and pushing technologies characterise our ambition: Sky is the limit!

· We are serious about fun.

If you see yourself enjoying working as a member of KLAARA team, then check out below!

WHY JOIN US?

· To work with a team of dynamic ML engineers and R&D team in a fast-growing start-up

· Contribute to KLAARA’s product development roadmap.

· Deliver POC.

· Progress within the state-of-the-art AI environment

· Fine-tune the current model and implement it.

· Understand, analyse and define new models to create new use cases.

You are:

· Passionate and following the latest state of the art technologies.

· A fast learner

· Excited to dive into the FinTech market and be deeply involved in KLAARA development.

· Ready to interact with R&D and other ML engineers to continuously improve our models.

· Motivated by challenges and problem solving.

With:

· A Bachelor’s/ master’s degree in computer science/ computer engineering, AI, Data Science is preferred.

· Full proficiency in Python

· Understanding of basic Git commands

· Strong knowledge in Machine Learning and Deep Learning

· Experience with Document AI understanding, and extraction is a big plus

· Experience with Pytorch or Tensorflow

· Github repository with projects is a big plus (we want to see what you have been able to create)

OUR OFFER

Competitive compensation: Our comprehensive medical insurance coverage includes dental benefits for you and a wide range of medical coverage for your dependents as well.

Extensive learning opportunities: access to our upAcademy platform and learning sessions to develop your skills set throughout the year.

Fun in your daily life: Do you want to feel the vibe and the energy of Upskills, too? Enjoy team building activities, quarterly company events and plenty of engaging activities such as volunteering events, wellness challenges and festival celebrations!

A LITTLE BIT MORE ABOUT US…

We are located at Raffles place, the heart of financial hub in Singapore, surrounded by leading international businesses and financial institutions. Our welcoming space fosters collaboration and encourages lively discussions, providing a stimulating environment complemented by amenities such as kitchen facilities, refreshments, snacks, and an overall open working culture.

Join our team of passionate professionals by sending your resume to careers@upskills.com!

Role:

• Conduct quantitative research with PM and other AI quants to develop and back-test different machine learning and statistical models, as well as productionize such models.
• Combine sound financial insights and machine learning techniques to explore, analyze, and harness a large variety of datasets.
• Use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave.
• Apply machine learning to a vast array of datasets

Requirements:

• Masters/PhD degree in Mathematics, Physics, Financial Engineering, Computer Science, Statistics with specialization in Machine Learning
• Experience working with large datasets and machine learning techniques
• Experience in one or more of deep learning, reinforcement learning, non-convex optimisation, Bayesian non-parametrics, NLP or approximate inference.
• Publications at top conferences such as NeurIPS, ICML, ICLR etc. is highly desirable.
• Experience in a high performance language (ideally C++, or similar languages)
• Outstanding performance in any quantitative field or contest (Kaggle, hackathons, olympiads, academic contests etc).
• Experience implementing machine learning algorithms in industry.
• Open to ML quants who are already working within finance or ML quants within tech who are interested to move to finance.

At Nagarro, we love breaking new ground and doing unprecedented stuff – we are not bound by hierarchy, we love people who are skilled, responsible, and entrepreneurial. We have deep respect for self-starters who can use their experience to provide strategic value adds to the organization. So, if you are a distinguished IT professional with extensive experience and in-depth knowledge, we’d like to catch up for a discussion and figure out how we can make this work. Excited? So are we, let’s connect!

At Nagarro, we love breaking new ground and doing unprecedented stuff – we are not bound by hierarchy, we love people who are skilled, responsible, and entrepreneurial. We have deep respect for self-starters who can use their experience to provide strategic value adds to the organization. So, if you are a distinguished IT professional with extensive experience and in-depth knowledge, we’d like to catch up for a discussion and figure out how we can make this work. Excited? So are we, let’s connect!

Developer with good hands-on experience in providing solutions using Open AI and Machine Learning.

Good hands-on experience in Azure Cloud.

Experience in developing application in Java or Python.

Good communication and interpersonal skills, with the ability to collaborate effectively in a team environment.

Preferred Skills: 1. Java with Azure Cognitive Search

2. Java with Azure DevOps skill using Terraform

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

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

About the Team

Our NLP team focuses on natural language generation, improving the reasoning ability of language models, such as machine translation, natural language generation, etc. We invite researchers and engineers in machine learning and natural language processing at all levels. We aim at pushing the limits of machine intelligence.

Responsibilities

- Cross-domain research on reinforcement Learning and Large Language Model based agents (LLM-based agents)

- Focus on one of the following application scenarios: Math problem solving, Text game AI

Qualifications

Minimum Qualification:

- Minimum PhD degree in any of these faculties: Machine Learning, Artificial Intelligence, Statistics, or related fields

- Strong skills in development of technologies in some of the following research directions: Reinforcement Learning, Multi-Agent Reinforcement Learning, Game Theory, Large Language Models

- Strong analytical and problem-solving skills

- Strong computer science and coding skills

- Work and collaborate well with team members

- Candidates with top conference papers or influential open source projects

Preferred Qualification:

- Working experience on the aforementioned application scenarios

ByteDance 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 ByteDance, our mission is to inspire creativity and enrich life. 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.

By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Were you given the tools to go beyond solving for X? Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.

At Nagarro, we love breaking new ground and doing unprecedented stuff – we are not bound by hierarchy, we love people who are skilled, responsible, and entrepreneurial. We have deep respect for self-starters who can use their experience to provide strategic value adds to the organization. So, if you are a distinguished IT professional with extensive experience and in-depth knowledge, we’d like to catch up for a discussion and figure out how we can make this work. Excited? So are we, let’s connect!

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

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

About the Team

Our NLP team focuses on natural language generation, improving the reasoning ability of language models, such as machine translation, natural language generation, etc. We invite researchers and engineers in machine learning and natural language processing at all levels. We aim at pushing the limits of machine intelligence.

Responsibilities

- Cross-domain research on reinforcement Learning and Large Language Model based agents (LLM-based agents)

- Focus on one of the following application scenarios: Math problem solving, Text game AI

Qualifications

Minimum Qualification:

- Minimum PhD degree in any of these faculties: Machine Learning, Artificial Intelligence, Statistics, or related fields

- Strong skills in development of technologies in some of the following research directions: Reinforcement Learning, Multi-Agent Reinforcement Learning, Game Theory, Large Language Models

- Strong analytical and problem-solving skills

- Strong computer science and coding skills

- Work and collaborate well with team members

- Candidates with top conference papers or influential open source projects

Preferred Qualification:

- Working experience on the aforementioned application scenarios

ByteDance 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 ByteDance, our mission is to inspire creativity and enrich life. 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.

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, 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 Applied Machine Learning (AML) team is seeking a Machine Learning Platform Engineer to develop and maintain our machine learning platform. The platform supports deep learning models for code development, testing, training scheduling, model deployment, and other core business functions. The team oversees the company's critical machine learning platform and serves as a foundation for recommended advertising and search. Here, you can work on recommended systems and distributed training of large-scale deep learning models. We welcome candidates interested in machine learning platform engineering and with excellent engineering capabilities to join our team. If you love challenges and want to develop in the innovation field, please submit your application as soon as possible.

What you'll do

- Design, develop, and maintain core functions of the machine learning platform, including data processing, feature engineering, model training, and model deployment.

- Build efficient, scalable data processing and computing processes to ensure platform stability and performance. - Collaborate with data scientists and machine learning engineers to understand their requirements and provide tool and technical support.

- Work closely with system administrators and software engineers to ensure smooth platform integration with other systems.

- Responsible for managing and monitoring the operation of the machine learning platform and troubleshooting any platform-related issues.

- Continuously track and evaluate emerging technologies and tools and provide suggestions for platform improvements and development.

Qualifications

Minimum Qualifications

- Bachelor's or above degree in computer science, software engineering, or a related field with 1+ years of relevant experience

- Possess solid software engineering skills and be proficient in developing using common programming languages (such as Python, Java, or C++).

- In-depth understanding of distributed computing and principles and technologies of large-scale data processing, familiar with related open source tools and frameworks (such as Hadoop, Spark, etc.).

- Demonstrate understanding of cloud computing and containerization technologies such as AWS and Docker.

- Enthusiastic about learning new technologies and solving complex problems, passionate about engineering challenges. Strong analytical and problem-solving skills, ability to quickly understand and solve engineering problems.

Preferred Qualifications

- A preference for candidates with knowledge and experience in machine learning and deep learning, but it is not required. We value candidates' engineering capabilities and overall quality more.

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.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, 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.

The Business Risk Integrated Control (BRIC) team is missioned to:

- Protect ByteDance users, including and beyond content consumers, creators, advertisers;

- Secure platform health and community experience authenticity;

- Build infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders.

The BRIC team works to minimize the damage of inauthentic behaviors on ByteDance platforms (e.g. TikTok, CapCut, Resso, Lark), covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti spam, API abuse, growth fraud, live streaming security and financial safety (ads or e-commerce), etc.

In this team you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure and product-friendly systems and solutions. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolvement of a phenomenal product eco-system. The work needs to be fast, transferrable, while still down to the ground to making quick and solid differences.

Responsibilities

- Build machine learning solutions to respond to and mitigate business risks in ByteDance products/platforms. Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc.

- Improve modeling infrastructures, labels, features and algorithms towards robustness, automation and generalization, reduce modeling and operational load on risk adversaries and new product/risk ramping-ups.

- Uplevel risk machine learning excellence on privacy/compliance, interpretability, risk perception and analysis.

Qualifications

- Master or above degree in computer science, statistics, or other relevant, machine-learning-heavy majors.

- Solid engineering skills. Proficiency in at least two of: Linux, Hadoop, Hive, Spark, Storm.

- Strong machine learning background. Proficiency or publications in modern machine learning theories and applications such as deep neural nets, transfer/multi-task learning, reinforcement learning, time series or graph unsupervised learning.

- Ability to think critically, objectively, rationally. Reason and communicate in result-oriented, data-driven manner. High autonomy.

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.

Responsibility:

1. Study and transform data science prototypes
2. Design machine learning systems
3. Research and implement appropriate ML algorithms and tools
4. Develop machine learning applications according to requirements
5. Select appropriate datasets and data representation methods
6. Run machine learning tests and experiments
7. Perform statistical analysis and fine-tuning using test results
8. Train and retrain systems when necessary
9. Extend existing ML libraries and frameworks
10. Keep abreast of developments in the field

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility.

Join us and make impact happen with a career at TikTok.

Our TikTok team is responsible for developing state-of-the-art machine learning models and strategies to improve user consumption experience, inspire creativity, build a fair and flourishing ecosystem.

Responsibilities:

- Design and apply machine learning algorithm and recommendation strategies to improve users' experience on e-commerce content, including videos and livestreams.

- Understand ecosystem of e-commerce content and use algorithm and strategy to make it thrive.

- Work with product and ops team to deliver features that drives growth of e-commerce content on TikTok.

- Build industry leading recommendation system; develop highly scalable classifiers and tools leveraging machine learning

Qualifications

1. Bachelor's degree in computer science or a related technical discipline, with at least 2 years of related work experience;

2. Solid experience with data structures and algorithms;

3. Software development experience through hands on coding in a general purpose programming language;

4. Experience in one or more of the following areas: machine learning, recommendation systems, data mining or other related areas;

5. Strong communication and teamwork skills;

6. Passion about technologies and solving challenging problems.

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.