Key Accountabilities:
- Model Development & Optimization – Design and develop machine learning models adapted to specific business needs. Continuously optimize these models to enhance their performance and accuracy.
- Deployment - Deploy machine learning models into production environments, ensuring seamless integration and monitoring for sustained effectiveness and efficiency.
- Experimentation - Conduct experiments to assess and improve model performance. Utilize statistical analysis and validation techniques to validate model predictions and reliability.
- Research - Keep up to date with the latest machine learning research, trends, and technologies. Apply new methodologies to our projects to maintain cutting-edge solutions.
- Team Collaboration - Work closely with cross-functional teams to integrate ML solutions into broader systems and workflows.
Requirements:
- Bachelor’s degree in Applied Mathematics, Computer Science, Data Science, Engineering, or a related field with a minimum CGPA of 3.5.
- Proficiency in Python 3 and experience with ML libraries such as Pandas, Sklearn, and PyTorch.
- Strong problem-solving and mathematical reasoning skills.
- Experience in developing ML models for Tabular Analysis, Time Series Analysis, and Fraud Detection would be an advantage.
- Excellent communication skills and the ability to work collaboratively.
Perks & Benefits
- Nearby public transport
- Casual dress code
- Free snacks / Happy hours
- Regular team activities
- Personal development opportunities
- Remote work flexibility
Job Location
02-08, Tower B, Vertical Business Suite, Avenue 3, Bangsar South, No. 8 Jalan Kerinchi, 59200 Kuala Lumpur, Malaysia
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