223 Machine Learning Engineer jobs in Malaysia

-Defining and executing ML experiments to test how machine learning can enhance the products user experience.-Analysing and interpreting ML experiment results to determine business impact and user benefits.-Translating complex ML solutions into intuitive, user-friendly features that drive engagement and retention.-Working with UX and marketing teams to communicate ML-driven features effectively to users.-Prioritizing ML product roadmap based on user feedback, business goals, and technical feasibility.-Ensuring compliance and ethical use of user data while maximising personalization and insights.

The Successful Applicant

A successful Data Scientist should have:

• A degree in Data Science, Computer Science, Statistics, or a related field.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with machine learning frameworks and tools.
• Ability to evaluate ML models, interpret results, and make data-driven decisions.

What's on Offer

• Remote Working
• Competitive salary of MYR 144000-18000 annually.
• Performance-based bonus and additional benefits.
• A collaborative and innovative company culture.
• Access to cutting-edge tools and technologies in the Technology & Telecoms industry.

If you are a motivated Data Scientist looking to make an impact, we encourage you to apply and take the next step in your career!

ContactJ-Shan LokeQuote job refJN-052025-6754518Phone number60123262534 #J-18808-Ljbffr

Get AI-powered advice on this job and more exclusive features.

Responsibilities:

1. Build and maintain machine learning models to support our products and services
2. Design, build, and maintain software systems that integrate with machine learning models
3. Collaborate with cross-functional teams to identify machine learning opportunities and implement solutions
4. Develop algorithms and implement software to support the development of new machine learning models
5. Analyze and interpret large sets of data to identify trends and patterns
6. Use statistical analysis and machine learning techniques to develop predictive models
7. Optimize and improve existing machine learning algorithms and models
8. Implement data pipelines and ETL processes to support machine learning workflows

Requirements:

1. Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field
2. 3+ years of experience in software engineering
3. Proficiency in coding with Python, R, and/or Java
4. Experience with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn
5. Familiarity with data analysis and visualization tools such as pandas, matplotlib, or Power BI
6. Knowledge of web development technologies, such as React and Django
7. Experience with cloud platforms, such as AWS or Azure
8. Strong collaboration and communication skills

Seniority level

• Entry level

Employment type

• Full-time

Job function

• IT Services and IT Consulting

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MoneyLion Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

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Join to apply for the Machine Learning Engineer role at MoneyLion

MoneyLion Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Join to apply for the Machine Learning Engineer role at MoneyLion

MoneyLion is a leader in financial technology powering the next generation of personalized products and content, with a top consumer finance super app, a premier embedded finance platform for enterprise businesses and a world-class media arm. MoneyLion’s mission is to give everyone the power to make their best financial decisions. We pride ourselves on serving the many, not the few; providing confidence through guidance, choice, personalization; and shortening the distance to an informed action.

In our go-to money app for consumers, we deliver curated content on finance and related topics, through a tailored feed that engages people to learn and share. People take control of their finances with our innovative financial products and marketplace - including our full-fledged suite of features to save, borrow, spend, and invest - seamlessly bringing together the best offers and content from MoneyLion and our 1,100+ Enterprise Partner network, together in one experience. MoneyLion’s enterprise technology provides the definitive search engine and marketplace for financial products, enabling any company to add embedded finance to their business, with advanced AI-backed data and tools through our platform and API. Established in 2013, MoneyLion connects millions of people with the financial products and content they need, when and where they need it.

About The Role

The Kuala Lumpur office is the technology powerhouse of MoneyLion. We pride ourselves on innovative initiatives and thrive in a fast paced and challenging environment. Join our multicultural team of visionaries and industry rebels in disrupting the traditional finance industry!

We are looking for a Machine Learning Engineer who is technically proficient in programming to build machine learning systems and maintain high performing machine learning models in production. Designing machine learning systems requires that you, as the machine learning engineer, is able to frame business problems and design machine learning solutions that can effectively bring value to the company. You will prototype, implement and experiment with machine learning methods to solve business use cases. You will lead efforts to automate, architect and optimise machine learning processes and workflows. You will also help define, execute and enforce best practices for test-driven model development processes for the entire Data Science team in MoneyLion.

Key Responsibilities

• Able to frame and contextualize machine learning problems
• Research, build and design machine learning systems and models that can solve business problems
• Assess, understand and analyse data to select appropriate datasets for data modelling and testing
• Identify, prototype and implement appropriate machine learning algorithms and tools to improve our products
• Design, execute and monitor machine learning model experiments and metrics
• Perform statistical analysis to evaluate and prove business impact of modelling improvements
• Automate, architect and orchestrate machine learning processes and pipelines
• Monitor, optimise and maintain machine learning solutions in production
• Enrich existing machine learning libraries and model development frameworks to empower model development in MoneyLion
• Work with MLOps Engineers and Data Scientists to improve systems designs and architectures
• Enforce test-driven development and advocate engineering best practices to reduce technical debt in machine learning systems
• Develop tools and internal libraries to facilitate model governance over the machine learning development lifecycle
  
  

About You

• Strong mathematical, statistical or actuarial background
• Good programming knowledge and software engineering skills
• Must have hands on experience in machine learning, predictive analytics and statistical modelling
• Experience developing and deploying machine learning models in production.
• Adept at problem solving and troubleshooting using both textbook methods and novel viewpoints
• Proficient in Python and SQL
• Proficient with machine learning libraries and frameworks such as scikit-learn, XGBoost, LightGBM
• Preferably have experience in building machine learning systems and workflows
• Preferably familiar and have experience with MLOps tools such as DVC, MLFlow, Metaflow, Seldon, BentoML
• Preferably familiar and have experience with AWS, Docker, Kubernetes.
• Solid communication and collaboration skills.
  
  

What's Next.

After you submit your application, you can expect the following steps in the recruitment process:

• Online Technical Test
• Take-Home Assessment
• Interview & Discussion of Take-Home Assessment - Hiring Manager (Virtual or face-to-face)
  
  

*If you’ve already sent in your application for this position and were not selected, please reapply after 6 months.*

What We Value

We value growth-minded and collaborative people with high learning agility who embody our core values of teamwork, customer-first and innovation . Every member of the MoneyLion Team is passionate about fintech and ready to give 100% in helping us achieve our mission.

Working At MoneyLion

At MoneyLion, we want you to be well and thrive. Our generous benefits package includes:

• Competitive salary packages
• Comprehensive medical, dental, vision and life insurance benefits
• Wellness perks
• Paid parental leave
• Generous Paid Time Off
• Learning and Development resources
• Flexible working hours
  
  

MoneyLion is committed to equal employment opportunities for all employees. Inside our company, every decision we make regarding our employees is based on merit, competence, and performance, completely free of discrimination. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Within that team, no one will feel more “other” than anyone else. We realize the full promise of diversity and want you to bring your whole self to work every single day.

Seniority level

• Seniority level Entry level

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology

Referrals increase your chances of interviewing at MoneyLion by 2x

Sign in to set job alerts for “Machine Learning Engineer” roles.

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AI & Data - Data Scientist, Experienced Associate/Senior Associate

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-Defining and executing ML experiments to test how machine learning can enhance the products user experience.-Analysing and interpreting ML experiment results to determine business impact and user benefits.-Translating complex ML solutions into intuitive, user-friendly features that drive engagement and retention.-Working with UX and marketing teams to communicate ML-driven features effectively to users.-Prioritizing ML product roadmap based on user feedback, business goals, and technical feasibility.-Ensuring compliance and ethical use of user data while maximising personalization and insights. The Successful Applicant A successful Data Scientist should have: A degree in Data Science, Computer Science, Statistics, or a related field. Proficiency in programming languages such as Python, R, or SQL. Experience with machine learning frameworks and tools. Ability to evaluate ML models, interpret results, and make data-driven decisions. What's on Offer

Remote Working Competitive salary of MYR 144000-18000 annually. Performance-based bonus and additional benefits. A collaborative and innovative company culture. Access to cutting-edge tools and technologies in the Technology & Telecoms industry.

If you are a motivated Data Scientist looking to make an impact, we encourage you to apply and take the next step in your career! ContactJ-Shan LokeQuote job refJN-052025-6754518Phone number60123262534 #J-18808-Ljbffr

Get AI-powered advice on this job and more exclusive features.

Responsibilities:

Build and maintain machine learning models to support our products and services

Design, build, and maintain software systems that integrate with machine learning models

Collaborate with cross-functional teams to identify machine learning opportunities and implement solutions

Develop algorithms and implement software to support the development of new machine learning models

Analyze and interpret large sets of data to identify trends and patterns

Use statistical analysis and machine learning techniques to develop predictive models

Optimize and improve existing machine learning algorithms and models

Implement data pipelines and ETL processes to support machine learning workflows

Requirements:

Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field

3+ years of experience in software engineering

Proficiency in coding with Python, R, and/or Java

Experience with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn

Familiarity with data analysis and visualization tools such as pandas, matplotlib, or Power BI

Knowledge of web development technologies, such as React and Django

Experience with cloud platforms, such as AWS or Azure

Strong collaboration and communication skills

Seniority level

Entry level

Employment type

Full-time

Job function

IT Services and IT Consulting

Referrals increase your chances of interviewing at ThunderSoft by 2x.

Get notified about new Machine Learning Engineer jobs in

Penang, Malaysia .

Note: The section about "Senior Engineer, Software Development Engineering" appears unrelated to the main job description and seems to be an extraneous detail. It can be removed for clarity.

#J-18808-Ljbffr

MoneyLion Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia Join or sign in to find your next job

Join to apply for the

Machine Learning Engineer

role at

MoneyLion MoneyLion Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia Join to apply for the

Machine Learning Engineer

role at

MoneyLion MoneyLion is a leader in financial technology powering the next generation of personalized products and content, with a top consumer finance super app, a premier embedded finance platform for enterprise businesses and a world-class media arm. MoneyLion’s mission is to give everyone the power to make their best financial decisions. We pride ourselves on serving the many, not the few; providing confidence through guidance, choice, personalization; and shortening the distance to an informed action.

In our go-to money app for consumers, we deliver curated content on finance and related topics, through a tailored feed that engages people to learn and share. People take control of their finances with our innovative financial products and marketplace - including our full-fledged suite of features to save, borrow, spend, and invest - seamlessly bringing together the best offers and content from MoneyLion and our 1,100+ Enterprise Partner network, together in one experience. MoneyLion’s enterprise technology provides the definitive search engine and marketplace for financial products, enabling any company to add embedded finance to their business, with advanced AI-backed data and tools through our platform and API. Established in 2013, MoneyLion connects millions of people with the financial products and content they need, when and where they need it.

About The Role

The Kuala Lumpur office is the technology powerhouse of MoneyLion. We pride ourselves on innovative initiatives and thrive in a fast paced and challenging environment. Join our multicultural team of visionaries and industry rebels in disrupting the traditional finance industry!

We are looking for a Machine Learning Engineer who is technically proficient in programming to build machine learning systems and maintain high performing machine learning models in production. Designing machine learning systems requires that you, as the machine learning engineer, is able to frame business problems and design machine learning solutions that can effectively bring value to the company. You will prototype, implement and experiment with machine learning methods to solve business use cases. You will lead efforts to automate, architect and optimise machine learning processes and workflows. You will also help define, execute and enforce best practices for test-driven model development processes for the entire Data Science team in MoneyLion.

Key Responsibilities

Able to frame and contextualize machine learning problems Research, build and design machine learning systems and models that can solve business problems Assess, understand and analyse data to select appropriate datasets for data modelling and testing Identify, prototype and implement appropriate machine learning algorithms and tools to improve our products Design, execute and monitor machine learning model experiments and metrics Perform statistical analysis to evaluate and prove business impact of modelling improvements Automate, architect and orchestrate machine learning processes and pipelines Monitor, optimise and maintain machine learning solutions in production Enrich existing machine learning libraries and model development frameworks to empower model development in MoneyLion Work with MLOps Engineers and Data Scientists to improve systems designs and architectures Enforce test-driven development and advocate engineering best practices to reduce technical debt in machine learning systems Develop tools and internal libraries to facilitate model governance over the machine learning development lifecycle

About You

Strong mathematical, statistical or actuarial background Good programming knowledge and software engineering skills Must have hands on experience in machine learning, predictive analytics and statistical modelling Experience developing and deploying machine learning models in production. Adept at problem solving and troubleshooting using both textbook methods and novel viewpoints Proficient in Python and SQL Proficient with machine learning libraries and frameworks such as scikit-learn, XGBoost, LightGBM Preferably have experience in building machine learning systems and workflows Preferably familiar and have experience with MLOps tools such as DVC, MLFlow, Metaflow, Seldon, BentoML Preferably familiar and have experience with AWS, Docker, Kubernetes. Solid communication and collaboration skills.

What's Next.

After you submit your application, you can expect the following steps in the recruitment process:

Online Technical Test Take-Home Assessment Interview & Discussion of Take-Home Assessment - Hiring Manager (Virtual or face-to-face)

*If you’ve already sent in your application for this position and were not selected, please reapply after 6 months.*

What We Value

We value

growth-minded

and

collaborative

people with high

learning agility

who embody our core values of

teamwork, customer-first

and

innovation . Every member of the MoneyLion Team is passionate about fintech and ready to give 100% in helping us achieve our mission.

Working At MoneyLion

At MoneyLion, we want you to be well and thrive. Our generous benefits package includes:

Competitive salary packages Comprehensive medical, dental, vision and life insurance benefits Wellness perks Paid parental leave Generous Paid Time Off Learning and Development resources Flexible working hours

MoneyLion is committed to equal employment opportunities for all employees. Inside our company, every decision we make regarding our employees is based on merit, competence, and performance, completely free of discrimination. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Within that team, no one will feel more “other” than anyone else. We realize the full promise of diversity and want you to bring your whole self to work every single day. Seniority level

Seniority level Entry level Employment type

Employment type Full-time Job function

Job function Engineering and Information Technology Referrals increase your chances of interviewing at MoneyLion by 2x Sign in to set job alerts for “Machine Learning Engineer” roles.

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia MYR6,000.00-MYR8,000.00 3 days ago Artificial Intelligence (AI) Software Engineer (Gen AI, Python)

Federal Territory of Kuala Lumpur, Malaysia 15 hours ago Petaling Jaya, Selangor, Malaysia 2 months ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 6 days ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 4 months ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Petaling Jaya, Selangor, Malaysia 3 days ago Software Engineer, AI Model Training (Malaysia)

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 month ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 3 weeks ago Federal Territory of Kuala Lumpur, Malaysia 3 weeks ago AI & Data - Data Scientist (GenAI), Experienced Hire

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 9 hours ago Federal Territory of Kuala Lumpur, Malaysia 2 days ago Petaling Jaya, Selangor, Malaysia 2 months ago AI & Data - Data Scientist, Experienced Associate/Senior Associate

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 4 hours ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 3 days ago Bangsar South, Federal Territory of Kuala Lumpur, Malaysia 3 days ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia $2,000.00-$,000.00 1 week ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2,000.00- 5,000.00 1 week ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 months ago Federal Territory of Kuala Lumpur, Malaysia 1 day ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia MYR96,000.00-MYR144,000.00 6 days ago Petaling Jaya, Selangor, Malaysia 2 months ago Petaling Jaya, Selangor, Malaysia 3 days ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 19 hours ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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Job Description

JOB DESCRIPTION

Collaborate with Cross-Functional Teams: Work closely with various operation teams to develop, deploy and maintain machine learning models and computer vision algorithms aimed at enhancing manufacturing efficiency, productivity and improve decision making. Design and implementation: Design and implement machine learning models and computer vision systems for quality control, defect detection, and process optimization within manufacturing environment. Application Development: Develop user-friendly applications to facilitate the deployment and utilization of machine learning models and computer visions systems in production settings. Testing and Validation: Conduct rigorous testing and validation of deployed models to ensure their accuracy, reliability, and effectiveness in real-world scenarios. Documentation: Create and maintain comprehensive documentation for machine learning models, computer vision systems and deployment processes to ensure transparency and reproducibility. Project Updates: Participate in regular team meetings and provide updates on project progress, share insights, and collaborate on problem-solving strategies. Ensure on-time delivery of the tasks and projects. Meeting and exceeding management and peers' expectation on the department services quality.

JOB REQUIREMENT

Degree in Computer Science, Data Science, Electrical Engineering (or a related field) Strong programming skills in Python, R or other relevant languages. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras. Familiarity with computer vision libraries like OpenCV. Knowledge of application development and deployment tools. Understanding of data manipulation tools like Pandas and NumPy. Excellent problem-solving skills and attention to detail. Ability to work independently and as part of a team. Strong communication skills to effectively convey technical concepts.

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Join to apply for the Lead Machine Learning Engineer role at Grab

1 week ago Be among the first 25 applicants

Join to apply for the Lead Machine Learning Engineer role at Grab

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About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Company Description

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Job Description

Get to Know the Team

The Applied AI team at Grab empowers teams across the company to harness the power of machine learning. We're building cutting-edge tools and infrastructure that democratize AI, driving innovation throughout Grab's services.

Get to Know the Role

As our Lead Machine Learning Engineer， you'll lead the projects of Grab's Gen AI Platform. This is a high-impact role where you'll shape the way machine learning drives value across our organization.

The Critical Tasks You Will Perform

• Lead and Inspire: Build and mentor a high-performing team of platform and machine learning engineers, creating a collaborative and innovative environment.
• Architect the Future: Define the strategic vision for Grab's Gen AI Platform, aligning it with our core business objectives for maximum impact.
• Build for Efficiency: Design and implement tools that streamline the entire Gen AI workflow, enabling rapid development and deployment of impactful Gen AI solutions.
• Champion Scalability: Collaborate with stakeholders to ensure our ML Platform scales seamlessly, empowering data scientists and engineers company-wide.
• Drive Technical Excellence: Foster a culture of quality through code reviews, design discussions, and best-practice implementation.
• Attract and Develop: Actively contribute to our talent acquisition strategy and shape initiatives that support the growth of our team.
  
  

Qualifications

What Essential Skills You Will Need

• Proven Experience: 4+ years of relevant experience in machine learning engineering or similar roles.
• Technical Mastery: Deep expertise in building and deploying AI platforms, including a strong command of programming languages (Python, R, or Java), cloud platforms (AWS, Azure), and containerization (Kubernetes).
• MLOps: In-depth knowledge of MLOps principles, enabling the productionalization of ML models (training, validation, deployment, monitoring).
• Strategic Visionary: Ability to translate business needs into a technical roadmap, ensuring our Gen AI Platform consistently creates value.
• Exceptional Leader: Possess communication and mentorship skills that inspire teams and attract top talent.
  
  

Additional Information

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours
  
  

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

Seniority level

• Seniority level Associate

Employment type

• Employment type Full-time

Job function

• Job function Other
• Industries Technology, Information and Internet

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Sign in to set job alerts for “Machine Learning Engineer” roles. Artificial Intelligence (AI) Software Engineer (Gen AI, Python) AI & Data - Data Scientist (GenAI), Experienced Hire

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Join to apply for the Senior Machine Learning Engineer role at Arvato Systems

Join to apply for the Senior Machine Learning Engineer role at Arvato Systems

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• Develops scripts and software that integrate ML models into larger systems
• Selects the most appropriate ML libraries and frameworks based on specific use cases
• Optimizes the training process for ML models, ensuring efficiency and scalability
• Implements robust APIs for model inference, making models available for real-time or batch predictions
• Designs data structures that optimize model performance and data processing speed
• Manages compute resources effectively to ensure models train and run efficiently
• Sets up logging systems and generates key metrics to monitor model and system perfor-mance
• Conducts hyperparameter tuning and evaluates different models to find the best fit for the task
• Monitors for and mitigates model degradation and drift in production environments
• Deploys models in a way that ensures reliability and scalability in production
• Creates CI/CD pipelines to automate the model lifecycle, from development to production up-dates
  
  

Responsibilities

• Develops scripts and software that integrate ML models into larger systems
• Selects the most appropriate ML libraries and frameworks based on specific use cases
• Optimizes the training process for ML models, ensuring efficiency and scalability
• Implements robust APIs for model inference, making models available for real-time or batch predictions
• Designs data structures that optimize model performance and data processing speed
• Manages compute resources effectively to ensure models train and run efficiently
• Sets up logging systems and generates key metrics to monitor model and system perfor-mance
• Conducts hyperparameter tuning and evaluates different models to find the best fit for the task
• Monitors for and mitigates model degradation and drift in production environments
• Deploys models in a way that ensures reliability and scalability in production
• Creates CI/CD pipelines to automate the model lifecycle, from development to production up-dates
  
  

Requirements:

• Degree in Computer Science, Engineering, AI/ML, or a related field (or equivalent experience)
• Strong object oriented software development skills, with a focus on machine learning applica-tions
• Mastery of ML-relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Expertise in selecting the right tools and frameworks based on project needs
• Knowledge of building and optimizing ML pipelines, including parallelization techniques
• Experience in deploying models through APIs for inference and real-time usage
• Familiarity with data structures and compute architectures that enhance model performance
• Ability to implement logging systems and generate performance metrics
• Knowledge of hyperparameter tuning, model selection, and training processes
• Experience with monitoring model degradation and drift in production
• Expertise in creating and managing CI/CD pipelines for ML model deployment
• Familiarity with cloud platforms (e.g., AWS, GCP) and distributed computing environments
• Excellent communication and teamwork skills to collaborate across technical and business teams
• Primary Skills:
• Core Libraries: Python 3.11+, pandas, NumPy, scikit-learn
• Deep Learning: TensorFlow, Keras, PyTorch
• Natural Language Processing: (Azure) OpenAI, Prompt Engineering, transformers, Langchain
• Development & Deployment: Git, Docker
• Data Visualization & Application: Streamlit, Matplotlib
• Azure: Azure Cognitive Services, Azure Databricks
• Secondary Skills:
• Azure Databases & Data Services: Azure Cosmos DB, Azure Data Factory

Life at Arvato Systems Malaysia:

Are you ready to join a team that continuously nurtures creativity, champions entrepreneurship, and values every individual's contribution? Our agile and collaborative culture cultivates empowerment through ownership, trust, and respect. Within this environment, we innovate through value creation and delving into technology, shaping boundless possibilities in our ecosystem.

What's In It For YOU

• Innovate Fearlessly: We fearlessly challenge the status quo. Innovation runs deep within our core, and we're continually seeking groundbreaking solutions. Your ideas matter, and we offer the platform for them to flourish.
• Invest in Growth: We prioritize your professional development with diverse learning, mentorship, and resources nurturing your growth through ample training opportunities.
• Work-Life Harmony: At our company, we prioritize work-life harmony, championing flexibility, and support to ensure your welfare. Your mental wellness is our priority. We're committed to fostering a healthy balance between work and personal life for a happier, healthier you.
• Attractive Benefits: Our flexible benefits package is designed to cater to your individual needs, complemented by exclusive perks such as Birthday Leave, Family Care Leave, and sponsored meals.
• Collaboration over Competition: Teamwork isn't just an idea here - it's our way of life.
• Thriving on Diversity: Embracing unique viewpoints and backgrounds, we ensure Equity and Inclusivity are at the heart of our success.
• Celebrate Success: From big wins to small victories, every achievement deserves its moment in the spotlight. From project milestones to personal goals and team triumphs, we're all about raising the flag high for success!
• Wellness & Well-being are Fundamental: We view wellness as more than personal health - it's the foundation of our caring, connected community. This emphasis on well-being drives our culture of rapid exploration and learning, propelling us forward together.
• Uniting through Fun: From annual company trips to quarterly team outings, we build trust and camaraderie by engaging in enjoyable activities together.
• Giving Back: Rooted in our values, we actively engage in initiatives supporting meaningful causes that benefit society. Our commitment to Corporate Responsibility is the cornerstone of our journey toward excellence.
  
  

Join Arvato Systems Malaysia for a transformative career journey. Our commitment to fair opportunities means we value skills and performance above all else - everyone is welcome to build a brighter future together.

About Us

Global IT specialist Arvato Systems supports major companies through Digital Transformation. About 3,300 staff in over 25 locations epitomize in-depth technology expertise, industry knowledge, and focus on customer requirements. Working as a team, we develop innovative IT solutions, transition our clients into the Cloud, integrate digital processes, and take on IT systems operation and support.

Interested? Then send us your application! We welcome applications from people who contribute to the diversity of our company. Please feel free to send us your detailed application including certificates and your salary expectations.

Arvato Systems Malaysia Sdn Bhd

Date: Jul 10, 2025

Location:

Kuala Lumpur, 01, MY, 50400

Job Segment: Cloud, CSR, Training, Computer Science, Engineer, Technology, Management, Education, EngineeringSeniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology
• Industries Education

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