AI/ML Engineer

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 inreal-world environments.

• Experience in computer vision and video analytics is an advantage.

• Proven experience working with large datasets, real-time data streams and high-volumedata 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 highlydesirable.

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, ApacheSpark, 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 Insights