65 AI Algorithms jobs in Malaysia
Computational Research Scientist – Deep Learning
Posted 2 days ago
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Job Description
We are seeking a passionate and highly skilled Computational Research Scientist specializing in deep learning to join our R&D team. This role will focus on developing and applying advanced AI and machine learning methods to solve biological problems, with an emphasis on enzyme optimization, metabolic engineering, and bio-process innovation. The successful candidate will collaborate closely with biologists, engineers, and data scientists to accelerate the design and production of sustainable bio-alternatives.
Design, develop, and deploy deep learning models for predicting and optimizing enzymes, proteins, and metabolic pathways in microbial and cellular systems.
Conduct computational modeling and simulations of metabolic networks to identify critical control points and engineering targets.
Build robust data pipelines to integrate diverse biological datasets and enable scalable model training and evaluation.
Present technical findings clearly to interdisciplinary teams through reports, presentations, and collaborative discussions.
Stay current with advances in AI, synthetic biology, and computational methods to drive innovation at ThinkBio.Ai.
Ph.D. in Computer Science, Bioinformatics, Computational Biology, or a related field with a focus on deep learning applications.
Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or similar.
Proficiency in programming languages including Python (preferred), R, or MATLAB.
Strong written and verbal communication skills.
Proven ability to work independently and collaboratively in a dynamic research environment.
Knowledge of metabolic engineering, synthetic biology, or systems biology concepts.
Familiarity with metabolic flux analysis and constraint-based modeling techniques (e.g., Flux Balance Analysis, COBRA Toolbox).
Experience with protein structure prediction and modeling.
Background in industrial biotechnology or experience working in start-up environments.
Exceptionally organized with the ability to manage multiple projects and priorities simultaneously.
Quick learner with a proactive, inquisitive mindset.
Adaptable and comfortable with evolving roles and responsibilities typical in start-ups.
Strong collaborator with excellent interpersonal and communication skills.
Commitment to high standards of scientific integrity and professional ethics.
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Computational Research Scientist – Deep Learning
Posted 3 days ago
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Job Description
Computational Research Scientist
specializing in
deep learning
to join our R&D team. This role will focus on developing and applying advanced AI and machine learning methods to solve biological problems, with an emphasis on enzyme optimization, metabolic engineering, and bio-process innovation. The successful candidate will collaborate closely with biologists, engineers, and data scientists to accelerate the design and production of sustainable bio-alternatives.
Key Responsibilities Design, develop, and deploy deep learning models for predicting and optimizing enzymes, proteins, and metabolic pathways in microbial and cellular systems.
Conduct computational modeling and simulations of metabolic networks to identify critical control points and engineering targets.
Build robust data pipelines to integrate diverse biological datasets and enable scalable model training and evaluation.
Present technical findings clearly to interdisciplinary teams through reports, presentations, and collaborative discussions.
Stay current with advances in AI, synthetic biology, and computational methods to drive innovation at ThinkBio.Ai.
Required Qualifications Ph.D. in Computer Science, Bioinformatics, Computational Biology, or a related field with a focus on deep learning applications.
Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or similar.
Proficiency in programming languages including Python (preferred), R, or MATLAB.
Strong written and verbal communication skills.
Proven ability to work independently and collaboratively in a dynamic research environment.
Preferred Qualifications Knowledge of metabolic engineering, synthetic biology, or systems biology concepts.
Familiarity with metabolic flux analysis and constraint-based modeling techniques (e.g., Flux Balance Analysis, COBRA Toolbox).
Experience with protein structure prediction and modeling.
Background in industrial biotechnology or experience working in start-up environments.
Desired Working Style Exceptionally organized with the ability to manage multiple projects and priorities simultaneously.
Quick learner with a proactive, inquisitive mindset.
Adaptable and comfortable with evolving roles and responsibilities typical in start-ups.
Strong collaborator with excellent interpersonal and communication skills.
Commitment to high standards of scientific integrity and professional ethics.
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Machine Learning Engineer
Posted 1 day ago
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Job Description
Who are we?
CFI Financial Group is an award-winning trading provider, possessing more than 25 years of experience with multiple offices around the world including London, Larnaca, Beirut, Amman, Dubai, Port Louis, and others.
CFI is hiring! Make your mark in the online trading industry.
Are you looking to pursue a career in finance? Do you want to work with a dynamic and growing team in the exciting world of online trading and investing? If you answered yes, then we have some amazing opportunities for you!
Job Description:
We are seeking an ML Engineer professional to join our team.
Key Responsibilities
- Design, build, and optimize ML models.
- Develop, test, and deploy AI agents (internal and client-facing) using LLMs and MCP within Databricks.
- Deliver scalable, robust ML and AI solutions that integrate seamlessly with existing systems.
- Implement Retrieval-Augmented Generation (RAG) systems and multi-step reasoning agents.
- Ensure data and model quality, integrity, and compliance with best practices.
- Acquire, clean, and analyze data from multiple sources to support ML initiatives.
- Break down complex AI/ML projects into actionable tasks with realistic time estimates.
- Collaborate with cross-functional teams (data engineering, front-end, business analysis, project management, product management) to ensure smooth delivery.
- Maintain clear documentation, project milestones, and deliverables.
- Foster a collaborative, innovative environment and contribute to knowledge sharing.
- Uphold and help establish coding standards and code review processes for AI/ML projects.
Qualifications
- Advanced Python skills and experience with ML libraries (TensorFlow, PyTorch, Scikit-learn, Keras) to support traditional ML frameworks (ie classification, regression, boosting, clustering, etc).
- Proven experience developing and deploying LLM-powered agents with multi-step reasoning.
- Hands-on experience with RAG architectures and MCP.
- Strong proficiency in Databricks for ML workflows, model training, and deployment.
- Experience with NLP, transformers, and predictive analytics models.
- Strong SQL skills and familiarity with both relational and NoSQL databases.
- Experience with data streaming (Kafka, Flink, or similar).
- End-to-end experience deploying ML models and AI agents to production.
- Familiarity with MLOps practices: model versioning, CI/CD, monitoring, and automated retraining.
- Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- Fintech or financial services background strongly preferred.
- Strong foundation in mathematics, statistics, and computer science.
- Excellent communication skills in English
Why join CFI?
- We’re a fast-growing, multinational company
- Competitive salaries and benefits
- Work and learn with industry professions
- Supportive and collaborative environment
- Unlimited opportunities for growth and development
Machine Learning Engineer
Posted 2 days ago
Job Viewed
Job Description
On our Perception team , you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create a positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios, and further tracking and classifying objects around our robo-taxi. We are looking for engineers who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.
What you’ll be doing:
- Participate in the full machine learning development cycle, including data preprocessing, model training, evaluation, and deployment.
- Productionize and deploy our large perception model on edge devices with optimization techniques in mind (e.g. pruning, quantization)
- Optimize training with large data and distributed machines
- Collaborate with cross-functional teams to implement scalable solutions and improvements
- Troubleshoot, debug, and optimize machine learning workflows for efficiency and performance.
What We’re Looking for:
- Bachelor’s Degree. Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
- 1+ years of experience with deep learning frameworks such as Pytorch
- Strong programming skills in C++, TensorRT, and/or CUDA programming
- Fluency in Python, including standard scientific computing libraries and Python bindings development experience
- Proven track record of developing and deploying perception systems for autonomous vehicles or robotics
- Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
Bonus Points:
- Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
Machine Learning Engineer
Posted 2 days ago
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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.
- 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.
Machine Learning Engineer
Posted 2 days ago
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Job Description
-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.
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.
- 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!
Machine Learning Engineer
Posted 2 days ago
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Job Description
About Snappymob Malaysia
Snappymob builds top-tier custom iOS, Android, and web applications that deliver seamless user experiences and scalability. From startups to enterprises, we turn ideas into functional, user-friendly solutions. Check us out at snappymob.com !
Key Responsibilities
Design, prototype, and implement ML models for financial applications, including predictive analytics, risk modeling, and trading algorithms.
Identify, collect, clean, and preprocess structured and unstructured financial data from multiple sources, including web data extraction.
Build and optimize training pipelines for experimentation and production deployment. Work with engineers to deploy and scale ML models in real-world environments.
Fine-tune and optimize foundational AI models, including LLMs, RAG, and agent-based applications to enhance decision-making and automation.
Work closely with cross-functional teams, including software engineers, data scientists, and business stakeholders, to translate business needs into effective ML solutions.
Define the data science roadmap and establish best practices for model development, versioning, and deployment. Stay updated on industry trends and emerging technologies.
What would you need?
- Ability to translate complex financial and business challenges into ML-driven solutions and communicate findings effectively.
- Solid understanding of financial markets, algorithmic trading, and risk management strategies.
- Experience in classical ML models, inference systems, and fine-tuning generative AI models.
- Strong skills in data scraping, extraction, transformation, and pipeline development for large-scale datasets.
- Proficiency in Python and ML frameworks like PyTorch, TensorFlow, Keras, Scikit-learn, NumPy, and Pandas.
- Strong coding ability with experience in Git, CI/CD, Docker, and Kubernetes.
- Familiarity with MLflow, Kubeflow, Airflow, and cloud-based ML services for model management and deployment.
- Shown a track record of being able to execute with minimal high-level guidance from C-levels.
Nice to have:
Experience with Spark, Dask, Snowflake, and BigQuery for large-scale data handling.
Knowledge of Graph Neural Networks (GNNs) and time-series forecasting for financial applications.
Experience with LLMs, RAG, LangChain, LlamaIndex, and AI-driven automation.
Familiarity with AWS, GCP, or Azure for scalable ML model deployment.
Opportunity to shape a new business: Ever wonder what it takes to launch a start-up? Heres your chance.
Employer-Sponsored Work Visa: Backing your relocation with full visa sponsorship.
Innovative Projects: Work on exciting projects that push your skills further.
Accessible Location: Conveniently located near the LRT for easy commuting.
Career Growth: Mentorship, and continuous learning.
Flexible Work: Enjoy a better work-life balance with flexible options: 2 days WFH, 3 days in-office, and flexible working hours.
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Machine Learning Engineer
Posted 2 days ago
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MoneyLion Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Join or sign in to find your next jobJoin 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
- 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.
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)
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
- Seniority level Entry level
- Employment type Full-time
- Job function Engineering and Information Technology
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#J-18808-LjbffrMachine Learning Engineer
Posted today
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Machine Learning Engineer
Posted 2 days ago
Job Viewed
Job Description
Perception team , you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create a positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios, and further tracking and classifying objects around our robo-taxi. We are looking for engineers who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company. What you’ll be doing: Participate in the full machine learning development cycle, including data preprocessing, model training, evaluation, and deployment. Productionize and deploy our large perception model on edge devices with optimization techniques in mind (e.g. pruning, quantization) Optimize training with large data and distributed machines Collaborate with cross-functional teams to implement scalable solutions and improvements Troubleshoot, debug, and optimize machine learning workflows for efficiency and performance. What We’re Looking for: Bachelor’s Degree. Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience 1+ years of experience with deep learning frameworks such as Pytorch Strong programming skills in C++, TensorRT, and/or CUDA programming Fluency in Python, including standard scientific computing libraries and Python bindings development experience Proven track record of developing and deploying perception systems for autonomous vehicles or robotics Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods Bonus Points: Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
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