Location: Sunway Nexis, Kota Damansara (Onsite)
Availability: Candidates who can join immediately or within short notice are highly preferred.
ROLE OVERVIEW
The AI & ML Engineer designs, builds, and deploys machine learning models and AI solutions that convert complex data into actionable insights. You will develop, evaluate and implement AI/ML models and collaborate with cross-functional teams to deliver intelligent solutions that drive business outcomes.
KEY RESPONSIBILITIES
- DEVELOP AI & ML SOLUTIONS
- Design, build and train machine learning and deep learning models for classification, regression, clustering, time series forecasting, recommendation systems and more.
- COMPUTER VISION & VIDEO ANALYTICS
- Develop and optimise computer vision models to detect, count and classify objects, estimate speed, queue length and detect incidents from traffic video streams with high accuracy.
- ADVANCED ANALYTICS & INSIGHTS
- Create dashboards, analytical reports and visualizations that reveal trends, patterns and performance indicators to support operational and strategic decisions.
- DATA PREPARATION & MODELING
- Transform raw data into high-quality datasets. Perform feature engineering, model selection, training, validation and hyperparameter tuning.
- PREDICTIVE MODELING & FORECASTING
- Build predictive models for traffic flow, demand forecasting and incident likelihood to enable proactive planning and decision-making.
- MODEL DEPLOYMENT & MONITORING
- Deploy AI/ML models to production environments, monitor performance, detect drift and retrain models to maintain accuracy and reliability.
- MODEL GOVERNANCE & ETHICS
- Ensure models are explainable, unbiased, secure and compliant with data privacy requirements and ethical AI practices.
- COLLABORATE & INNOVATE
- Work closely with data engineers, developers, domain experts and stakeholders to deliver innovative, data-driven solutions that create real impact.
REQUIRED QUALIFICATIONS
- Bachelor's or Master's degree in Data Science, Computer Science, Artificial Intelligence,
- Statistics, Mathematics, Engineering or related field.
- Professional certifications are an advantage:
- Machine Learning (Coursera, edX, AWS, Google, Microsoft)
- Data Science / AI
- TensorFlow Developer / NVIDIA DLI / Databricks / etc.
- Strong foundation in mathematics, statistics, probability and linear algebra.
REQUIRED EXPERIENCE
- Minimum 5 years of experience in AI, machine learning or data analytics.
- At least 3 years of hands-on experience developing and deploying ML models in real-world environments.
- Experience in computer vision and video analytics is an advantage.
- Proven experience working with large datasets, real-time data streams and high-volume data pipelines.
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn, OpenCV).
- Experience with MLOps, model deployment, API integration and production monitoring.
- Experience in transportation, smart city, surveillance or traffic analytics projects is highly desirable.
KEY COMPETENCIES
- Machine Learning & Deep Learning
- Computer Vision & Image Processing
- Data Analytics & Visualization
- Predictive Modeling & Forecasting
- Statistical Analysis
- Python Programming
- Big Data & Data Engineering Concepts
- MLOps & Model Deployment
- SQL & Data Management
- Analytical Thinking & Problem Solving
- Communication & Collaboration
- Innovation & Continuous Learning
TOOLS & TECHNOLOGIES
- Python, TensorFlow, PyTorch, scikit-learn, OpenCV, PostgreSQL, pandas, Apache Spark, Power BI, Docker
WHAT YOU WILL WORK ON
- Real-time Traffic Analytics
- Incident Detection & Alerts
- Traffic Flow & Congestion Prediction
- Vehicle Classification & Counting
- Travel Time & Speed Estimation
- Operational & Strategic Insight
