Senior Machine Learning Engineer
Salary: RM12,000 – RM25,000 per month
Location: Malaysia
About the Role
We are seeking a highly skilled Senior Machine Learning Engineer to design, develop, and deploy scalable machine learning solutions that drive business impact. You will work closely with data, engineering, and product teams to transform data into actionable insights and intelligent systems.
This is an excellent opportunity for professionals who are passionate about Artificial Intelligence, Machine Learning, and building production-ready AI solutions.
Key ResponsibilitiesMachine Learning Development
- Design, develop, and deploy machine learning models for real-world applications
- Build predictive models to support business growth and operational efficiency
- Research and implement advanced machine learning techniques
End-to-End ML Pipeline Development
- Build and maintain machine learning pipelines from data collection and preprocessing through model training, deployment, and monitoring
- Automate workflows to improve scalability and reliability
Data Analysis & Model Optimization
- Work with large datasets to identify patterns and extract actionable insights
- Improve model accuracy, performance, latency, and scalability
- Conduct testing and validation to ensure model effectiveness
Production Deployment
- Collaborate with Data Engineers and Software Engineers to deploy machine learning models into production environments
- Integrate models with APIs and business applications
- Monitor production models and implement retraining strategies when required
Continuous Improvement
- Stay updated on emerging AI and Machine Learning technologies
- Recommend and implement new tools, frameworks, and best practices
RequirementsEducation
- Bachelor's or Master's Degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field
Experience
- 3–6+ years of experience in Machine Learning, Artificial Intelligence, or Data Science
- Experience developing and deploying machine learning models in production environments
Technical SkillsProgramming
- Strong proficiency in Python
Machine Learning Frameworks
Experience with one or more of the following:
- TensorFlow
- PyTorch
- Scikit-learn
Data Processing
Machine Learning Knowledge
Strong understanding of:
- Classification
- Regression
- Clustering
- Feature Engineering
- Model Evaluation
- Hyperparameter Tuning
Cloud Platforms
Experience with one or more of the following:
- AWS
- Google Cloud Platform (GCP)
- Microsoft Azure
Preferred Qualifications
- Experience with MLOps practices
- Experience with Docker, Kubernetes, or CI/CD pipelines
- Experience building scalable AI solutions in cloud environments
Compensation & Benefits
- Monthly salary: RM12,000 – RM25,000
- 13th Month Salary (subject to company declaration)
- Project Incentives (subject to project performance and company declaration)
- Transportation Allowance (upon confirmation)
- Meal Allowance (upon confirmation)
- Birthday Allowance (upon confirmation)
- Company-sponsored training and professional certifications for selected employees
- Sports activities including badminton and basketball
- Company outings and team-building activities
- Long Service Awards
- Best Performer Awards
- Role Model Awards
Why Join Us
- Opportunity to work on impactful AI and Machine Learning projects
- Exposure to large-scale production environments
- Strong career growth and learning opportunities
- Collaborative and innovation-driven work culture
- Competitive salary and performance-based rewards
If you are passionate about Machine Learning and want to work on challenging projects that create real business value, we encourage you to apply.
Pay: RM12,000.00 - RM25,000.00 per month
Benefits:
- Opportunities for promotion
- Professional development
Work Location: In person