5,766 Mimos jobs in Malaysia
AI Engineer – Machine Learning
Posted today
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About the Role
We're building the brains behind straight-through-processing (STP) in banking - AI models that can recognize, evaluate, and validate information in real time on edge devices. As an AI Engineer, you'll join our R&D team to develop and refine computer vision models for edge systems, combining deep learning expertise with hands-on software development.
You'll explore new approaches, fine-tune them through testing and optimization, and ensure they perform reliably in production. Along the way, you'll work closely with teammates from diverse technical backgrounds who share a passion for solving complex problems with AI.
What You'll Do
- Develop, fine-tune, and evaluate computer vision deep learning models for different tasks and applications.
- Carry out applied research in deep learning and transfer those findings into production-ready solutions.
- Process and prepare image datasets through pre-processing, cleaning, and quality checks, applying a data-centric approach to ensure reliable model inputs.
- Evaluate models using standard metrics, analyze the results, and iterate to improve accuracy and confidence levels.
- Apply optimization methods such as pruning, quantization, and knowledge distillation to make models efficient on edge devices.
- Develop APIs and microservices so that trained models can be served and integrated into real-world systems.
- Work closely with team members to review research papers, share learnings, and continuously improve practices in model development.
We're looking for someone who can demonstrate:
- 2–3 years practical experience in computer vision and deep learning, with a proven track record of building and applying models in real projects.
- Strong programming skills in Python, with hands-on use of frameworks such as PyTorch or TensorFlow.
- Solid understanding of statistics, including the ability to design experiments, run tests, analyze results, and interpret findings to guide model improvements.
- Familiarity with edge computing hardware such as Jetson, TPU, or FPGA, and the ability to optimize models to run efficiently on these devices.
- Knowledge of model optimization methods such as pruning, quantization, or distillation, and how to apply them to reduce model size, improve speed, and maintain accuracy for deployment on edge systems.
- Ability to evaluate and report model performance using appropriate metrics (e.g., precision, recall, F1 score, latency, throughput), while embracing a data-centric approach to AI modelling to continually improve outcomes.
- Clear communication skills and the willingness to collaborate with a multi-disciplinary team.
Relevant Qualifications
- A degree in Computer Science, Data Science, Artificial Intelligence, or a related field (or equivalent practical experience).
- Hands-on experience applying computer vision and deep learning in real projects, including model training and evaluation.
- Exposure to deploying models on edge devices (e.g., Jetson, TPU, FPGA) and to production-level software practices such as version control, testing, or CI/CD.
Why Join Us?
- Work on AI models that move beyond theory — your code will run in real-world systems where accuracy, speed, and reliability matter.
- Join a tight-knit R&D team led by seasoned AI and computer science experts, where you'll have space to learn, experiment, and grow through direct hands-on mentorship.
- Advance from IC2 to IC3, taking on more independence and project ownership as your skills mature.
- Build your craft end-to-end: from data to deployment, from research paper to production-ready model – See your work deployed in production systems where every improvement in accuracy, speed, or reliability makes a real difference.
Ready to roll up your sleeves and grow with us? Apply now — we look forward to meeting you in the interview process.
Machine Learning/ AI Engineer
Posted today
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We're on a mission to enhance AI-driven route planning, intelligent fleet
operations, and predictive analytics for safer, smarter, and more efficient transportation.
We're seeking a Machine Learning/Artificial Intelligence Engineer to join our AI team. If you have a
passion for AI model development, deep learning, and real-world impact, this is your chance to work
on exciting projects such as:
● AI Route Planning Optimization – Enhancing delivery efficiency through intelligent routing
algorithms.
● AI Agents for Fleet Automation – Developing AI-driven decision-making agents for fleet
operations.
● Predictive Analytics in Fleet Management – Improving vehicle performance and reducing
operational risks through AI-powered forecasting.
What you'll do:
● AI Strategy & Research – Team up for AI research and development (R&D) to align with
SafeConnect's business goals.
● Solution Integration – Understand challenges in fleet management and integrate AI to
optimize operations.
● AI Development & Deployment – Design, build, and deploy machine learning models for route
optimization, predictive maintenance, and operational intelligence.
● Cross-functional collaboration – Work with executive leaders, product teams, and software
engineers to develop AI-powered solutions
● Scalability & Performance – Optimize AI models for efficiency, scalability, and real-time
decision-making in fleet operations.
● Ethical AI & Compliance – Ensure AI models adhere to industry best practices and maintain
high ethical standards.
● Continuous Improvement – Monitor, retrain, and improve AI models based on real-world fleet
data.
machine learning AI engineer
Posted today
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Job Description
Employement type : Permanent
Industry: Banking
Location: Bangsar South (Fully onsite)
- Design and develop frameworks for machine learning systems.
- Research and implement machine learning algorithms and tools.
- Develop machine learning applications in alignment with project requirements and business goals.
- Perform machine learning tests and statistical analysis to fine-tune the machine learning systems
- Select appropriate datasets and data representation methods.
- Extend existing machine learning libraries and frameworks.
- Train systems and retrain as necessary.
- Work with the engineering and leadership teams on the functional design, process design, testing, and training of AI/ML solutions.
- Advise leaders on technology, strategy, and policy issues related to AI/ML.
- Guide and mentor other ML Engineers to boost team productivity
Requirement
- At least 5+ years of experience applying AI to practical uses
- Over 5 years of Python programming experience
- Experience with Llama, TensorFlow, NLP, and relevant deep-learning models
- Experience writing robust code in Python and/or Java
- Experience in REST API development, NoSQL database design, and RDBMS design and optimizations
- Experience is the design and development of Knowledge Graphs and Graph Databases such as Neo4j, MemGraph, etc.
- Knowledge of machine learning frameworks such as Keras and PyTorch
- Knowledge of math, probability, statistics, and algorithms
- Knowledge of algorithms and object-oriented and functional design principles
- Knowledge of data structures, data modeling, and software architecture
- Excellent communication skills
- Strong analytical and problem-solving skills
AI Machine Learning Engineer
Posted 13 days ago
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Overview
Responsible for leading AI platform design and standardization within CareCone Group. Act as the go-to person for issues related to AI platform or product, promote AI models, and drive end-to-end solutioning. Coordinate AIOps and AI Engineering activities and work with all AI teams, bringing end-to-end architecture knowledge across ML, platform, and AI domains.
Responsibilities- Lead AI platform design and standardization initiatives
- Serve as the main point of contact for platform or product issues
- Promote AI models and drive end-to-end solutioning
- Coordinate AIOps and AI Engineering efforts across all AI teams
- Apply end-to-end architecture knowledge to ML, platform, and AI initiatives
- Databricks platform knowledge, Lakehouse in Databricks and Databricks Mosaic framework
- TensorFlow, PyTorch
- Programming: Python, Java, C++
- ML frameworks and MLOps
- GPU optimization
- Mid-Senior level
- Full-time
- Information Technology
- Technology
- Information and Media and Information Services
AI Machine Learning Engineer
Posted today
Job Viewed
Job Description
Key Responsibilities --
He is the
go-to person for any issues, platform or product, promoting a model, end to end solutioning. Coordinate AIOPs and AI Engineering and all AI teams, end to end architecture knowledge. ML + platform + AI knowledge.
Technical Competencies
- AI platform development (Expert)
- ML frameworks and MLOps (Expert)
- GPU optimization (Expert)
- Data integration pipelines (Advanced)
- Programming (Advanced)
Primary Focus - Leading AI platform design and standardization
Technical Skills:
Databricks platform knowledge, Lakehouse in Databricks and Databricks Mosaic framework is a must have.
TensorFlow, PyTorch
MLflow, Kubeflow
AWS, Azure
Python, Java, C++
Data engineering & integration
GPU optimization
AI Machine Learning Engineer
Posted 5 days ago
Job Viewed
Job Description
Responsible for leading AI platform design and standardization within CareCone Group. Act as the go-to person for issues related to AI platform or product, promote AI models, and drive end-to-end solutioning. Coordinate AIOps and AI Engineering activities and work with all AI teams, bringing end-to-end architecture knowledge across ML, platform, and AI domains. Responsibilities
Lead AI platform design and standardization initiatives Serve as the main point of contact for platform or product issues Promote AI models and drive end-to-end solutioning Coordinate AIOps and AI Engineering efforts across all AI teams Apply end-to-end architecture knowledge to ML, platform, and AI initiatives Technical Skills
Databricks platform knowledge, Lakehouse in Databricks and Databricks Mosaic framework TensorFlow, PyTorch Programming: Python, Java, C++ ML frameworks and MLOps GPU optimization Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
Technology Information and Media and Information Services
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Senior Machine Learning Engineer / Senior (Gen) AI Engineer
Posted 2 days ago
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Join to apply for the Senior Machine Learning Engineer / Senior (Gen) AI Engineer role at Evonik
What We Offer
At Evonik, one of the world’s leading specialty chemicals companies, you can expect an (IT) world full of possibilities: Our IT team, with nearly 1,000 employees worldwide, stands for cutting-edge apps and technologies. In close collaboration with our 33,000 colleagues, we develop innovative IT solutions for our products, services, business operations, and production processes.
In our department Enterprise AI you will join a global AI team of specialists in machine learning, data science, software development, and product management working across borders, united by a culture of openness, creativity, and collaboration. We build impactful AI solutions that matter for science, sustainability, and innovation and want to help redefine how AI drives progress in a global chemical enterprise.
If you are interested to shape the future of AI in the chemical industry together with colleagues who share your mindset and passion, we`d love to meet you.
Among attractive career paths and high-quality development programs, we not only offer performance-based remuneration and occupational health benefits but also hybrid and flexible working environments with #SmartWork.
Find out more about the many benefits we offer:
Responsibilities
- Design and productionize Generative AI applications based on LLMs and custom fine-tuned SLMs with advanced retrieval methods like GraphRAG and other modern approaches
- Explore and implement agentic AI concepts that make systems more autonomous and scalable
- Build and run AI solutions on Azure, leveraging Azure AI Foundry as the foundation. All with strong focus on MLOps, observability, security and compliance
- Work closely with colleagues from production, R&D and corporate functions to turn business challenges into AI-driven solutions with measurable value
- Drive innovation by experimenting with frameworks like LangChain, LangGraph, Langfuse or protocols like MCP, A2A, ACP and bring new ideas into production at scale.
Requirements
- Several years of experience in Machine Learning Engineering or Software Engineering with a strong focus on AI
- Masters degree in data-related technical field (depending on the functional location of the senior machine learning engineer, this can be e.g. Chemical Engineering, Statistics or Computer Science)
- Excellent programming skills in Python
- Proven experience in deploying LLMs and Generative AI in real-world scenarios
- Solid understanding of MLOps practices, CI/CD pipelines and scalable deployment
- Strong expertise in data structures including tabular, time series, and continuous data and database interaction (SQL orNoSQL)
- Hands-on experience with data collection such as process monitoring sensors, analytical instruments, or related
- Curiosity, creativity and the ability to explain complex systems in a simple way to colleagues with diverse backgrounds
- Nice to have: experience with GraphRAG, Agentic AI, MCP
Your Application
To ensure that your application is proceeded as quickly as possible and to protect the environment, please apply online via our careers portal. Further information about Evonik as Employer can be found at .
Please address your application to the Talent Acquisition Manager, stating your earliest possible starting date and your salary expectations.
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Senior Machine Learning Engineer / Senior (Gen) AI Engineer
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Senior Machine Learning Engineer / Senior (Gen) AI Engineer
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Senior Machine Learning Engineer / Senior (Gen) AI Engineer
Posted 1 day ago
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Senior Machine Learning Engineer / Senior (Gen) AI Engineer
role at
Evonik What We Offer At Evonik, one of the world’s leading specialty chemicals companies, you can expect an (IT) world full of possibilities: Our IT team, with nearly 1,000 employees worldwide, stands for cutting-edge apps and technologies. In close collaboration with our 33,000 colleagues, we develop innovative IT solutions for our products, services, business operations, and production processes.
In our department Enterprise AI you will join a global AI team of specialists in machine learning, data science, software development, and product management working across borders, united by a culture of openness, creativity, and collaboration. We build impactful AI solutions that matter for science, sustainability, and innovation and want to help redefine how AI drives progress in a global chemical enterprise.
If you are interested to shape the future of AI in the chemical industry together with colleagues who share your mindset and passion, we`d love to meet you.
Among attractive career paths and high-quality development programs, we not only offer performance-based remuneration and occupational health benefits but also hybrid and flexible working environments with #SmartWork.
Find out more about the many benefits we offer: Responsibilities
Design and productionize Generative AI applications based on LLMs and custom fine-tuned SLMs with advanced retrieval methods like GraphRAG and other modern approaches Explore and implement agentic AI concepts that make systems more autonomous and scalable Build and run AI solutions on Azure, leveraging Azure AI Foundry as the foundation. All with strong focus on MLOps, observability, security and compliance Work closely with colleagues from production, R&D and corporate functions to turn business challenges into AI-driven solutions with measurable value Drive innovation by experimenting with frameworks like LangChain, LangGraph, Langfuse or protocols like MCP, A2A, ACP and bring new ideas into production at scale. Requirements
Several years of experience in Machine Learning Engineering or Software Engineering with a strong focus on AI Masters degree in data-related technical field (depending on the functional location of the senior machine learning engineer, this can be e.g. Chemical Engineering, Statistics or Computer Science) Excellent programming skills in Python Proven experience in deploying LLMs and Generative AI in real-world scenarios Solid understanding of MLOps practices, CI/CD pipelines and scalable deployment Strong expertise in data structures including tabular, time series, and continuous data and database interaction (SQL orNoSQL) Hands-on experience with data collection such as process monitoring sensors, analytical instruments, or related Curiosity, creativity and the ability to explain complex systems in a simple way to colleagues with diverse backgrounds Nice to have: experience with GraphRAG, Agentic AI, MCP Your Application To ensure that your application is proceeded as quickly as possible and to protect the environment, please apply online via our careers portal. Further information about Evonik as Employer can be found at
.
Please address your application to the Talent Acquisition Manager, stating your earliest possible starting date and your salary expectations.
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