108 Data Scientists jobs in Kuala Lumpur

Responsibilities

a. Design / perform business-oriented, comprehensive, accurate reporting system/ analysis to monitor the performance of the business, to locate risk and to discover potential business opportunities, to guide business for decision making.

-Perform ad-hoc analysis to understand certain business cases and challenges, providing conclusions and advice based on data analysis.

-Closely follow-up the business operation, to fully understand the business situation/planning

-Work with colleagues in business team for understanding the data insights.

-Develop and maintain the management dashboard portal

b. Strategy & Planning

-Do the targets setting for the business, as well as target progress tracking and projection, to guide the business on resource allocation and building blocks set-up/planning.

Requirements

-2+ years working experience in analytics, project management, strategy and/or tech consulting, or other related fields. Experience in E-commerce and/or Commercial/Brands is a plus.

-Solid knowlegde of SQL and other programming language. Hands-on experience in data extraction, cleaning, preparation, and dashboard development

-Sharp and structured thinking, strong analytical and numerical skills. Good communication and presentation skills

-Results orientated with a strong emphasis on problem-solving

-Highly energetic and self-motivated. Willingness to learn attitude with ability to work under pressure

-Bilingual: English/Chinese

-Bachelor’s/Master Degree in relevant field of study

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Vision Building is hiring a Casual/Temporary Machine Learning Engineer role in Bandar Baru Sri Petaling, Wilayah Persekutuan Kuala Lumpur. Apply now to be part of our team.

Job summary:

• Looking for candidates available to work:
  • Monday: Morning, Afternoon, Evening
  • Tuesday: Morning, Afternoon, Evening
  • Wednesday: Morning, Afternoon, Evening
  • Thursday: Morning, Afternoon, Evening
  • Friday: Morning, Afternoon, Evening
  • Saturday: Morning, Afternoon
• No experience required for this role
• Expected salary: RM1,000 - RM1,300 per month

AI/ML Intern (University Level) – ERP & Data-Driven Innovation

We are a fast-growing multi-industry holding company operating across retail, services, events, and education . As we digitize and scale, we’re looking for a hands-on AI/ML Intern to help prototype intelligent solutions that enhance our ERP systems , CRM workflows , POS operations , and AI-powered sales and support automation .

This internship is ideal for university students passionate about applying AI to real-world business infrastructure.

Job Description :

• Prototype AI features to support ERP and CRM modules (inventory, sales, customer engagement, HR, finance, etc.)

• Explore AI solutions for telemarketing , including lead scoring, call assistance, and LLM-powered scripts

• Build internal chatbots and smart assistants to enhance productivity and customer service

• Apply ML/NLP models to improve data-driven decision-making and workflow automation

• Work with internal dashboards, POS systems, and low-code tools or tech

• Present findings and create documentation for future implementation

Requirements :

• Strong Python skills and knowledge of ML libraries (e.g., pandas, scikit-learn)

• Understanding of ML concepts and hands-on experimentation using notebooks

• Interest in ERP systems, enterprise workflows, and applied AI

• Bonus: Familiarity with LLM APIs (e.g., OpenAI), Hugging Face, or chatbot frameworks

• Bonus: Exposure to low-code tools or tech (e.g., Retool, AppSheet, Glide) or cloud platforms (Colab, AWS, GCP)

Internship Outcome :

• Experience building AI prototypes tied to real business operations

• Exposure to how AI can be integrated into ERP and retail ecosystems

• Mentorship from cross-functional teams (Tech, Ops, Data)

• A chance to contribute to AI adoption across multiple industries

Ready to bridge AI with real-world business systems?

Join us and be part of our data-driven transformation.

#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.

#J-18808-Ljbffr

Vision Building is hiring a Casual/Temporary Machine Learning Engineer role in Bandar Baru Sri Petaling, Wilayah Persekutuan Kuala Lumpur. Apply now to be part of our team.

Job summary:

Looking for candidates available to work:

Monday: Morning, Afternoon, Evening Tuesday: Morning, Afternoon, Evening Wednesday: Morning, Afternoon, Evening Thursday: Morning, Afternoon, Evening Friday: Morning, Afternoon, Evening Saturday: Morning, Afternoon

No experience required for this role Expected salary: RM1,000 - RM1,300 per month

AI/ML Intern (University Level) – ERP & Data-Driven Innovation We are a fast-growing

multi-industry holding company

operating across

retail, services, events, and education . As we digitize and scale, we’re looking for a hands-on

AI/ML Intern

to help prototype intelligent solutions that enhance our

ERP systems ,

CRM workflows ,

POS operations , and

AI-powered sales and support automation . This internship is ideal for university students passionate about applying AI to real-world business infrastructure. Job Description : Prototype AI features to support ERP and CRM modules (inventory, sales, customer engagement, HR, finance, etc.)

Explore AI solutions for

telemarketing , including lead scoring, call assistance, and LLM-powered scripts

Build internal chatbots and smart assistants to enhance productivity and customer service

Apply ML/NLP models to improve data-driven decision-making and workflow automation

Work with internal dashboards, POS systems, and

low-code tools or tech

Present findings and create documentation for future implementation

Requirements : Strong Python skills and knowledge of ML libraries (e.g., pandas, scikit-learn)

Understanding of ML concepts and hands-on experimentation using notebooks

Interest in ERP systems, enterprise workflows, and applied AI

Bonus: Familiarity with LLM APIs (e.g., OpenAI), Hugging Face, or chatbot frameworks

Bonus: Exposure to

low-code tools or tech

(e.g., Retool, AppSheet, Glide) or cloud platforms (Colab, AWS, GCP)

Internship Outcome : Experience building AI prototypes tied to real business operations

Exposure to how AI can be integrated into ERP and retail ecosystems

Mentorship from cross-functional teams (Tech, Ops, Data)

A chance to contribute to AI adoption across multiple industries

Ready to bridge AI with real-world business systems? Join us and be part of our data-driven transformation.

#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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Averis Federal Territory of Kuala Lumpur, Malaysia

Staff Machine Learning Engineer

Averis Federal Territory of Kuala Lumpur, Malaysia

1 day ago Be among the first 25 applicants

Direct message the job poster from Averis

IT & Digital Recruitment - Industry 4.0 | IoT | Data | AI | Machine Learning | RPA | Cyber Security | SAP | Infra | Cloud Computing | Mobile App

Key Responsibilities:

• Lead the design, development, and deployment of robust and scalable machine learning models in production environments.
• Collaborate closely with data scientists, engineers, and business stakeholders to identify, define, and prioritize machine learning use cases that drive business impact.
• Manage the end-to-end machine learning lifecycle , including data acquisition, preprocessing, model training, evaluation, deployment, and monitoring.
• Drive model optimization, hyperparameter tuning , and A/B testing to continuously improve model performance and reliability.
• Provide technical leadership and mentorship , establishing best practices in machine learning engineering, MLOps, and software development standards.
• Stay abreast of emerging ML/AI trends and technologies , evaluating their potential application to business challenges.
• Communicate strategic, data-driven insights and influence technical and business decision-making at leadership levels.

Skills & Qualifications:

• 12+ years of experience in machine learning or data science roles, including 3+ years in a senior or lead capacity .
• Expert-level proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn .
• Proven track record of deploying and maintaining production-grade machine learning models .
• Strong foundation in supervised, unsupervised, and deep learning algorithms and techniques .
• Hands-on experience with data pipelines, MLOps practices, and cloud platforms (e.g., AWS SageMaker, GCP AI Platform, Azure ML).
• Solid understanding of data engineering principles, version control systems, and CI/CD pipelines for ML workflows .
• Familiarity with SQL and NoSQL databases and large-scale data management.
• Excellent communication and presentation skills, capable of conveying complex technical concepts to technical and non-technical audiences .
• Bonus: Prior experience or exposure to process manufacturing industries , such as Pulp and Paper Manufacturing, Palm Oil Refining, or Viscose Fibre Manufacturing , is highly desirable.

Education:

Bachelor’s or Master’s Degree in Computer Science , Machine Learning , Artificial Intelligence , Engineering , or a related field.

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Information Technology
• Industries IT System Custom Software Development and Software Development

Referrals increase your chances of interviewing at Averis by 2x

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

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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

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

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.

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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 #J-18808-Ljbffr

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Job 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 performance
• 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 updates

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 applications
• 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

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.

Date: Apr 14, 2025

Location: Kuala Lumpur, 14, MY, 50400

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