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:

1. Machine Learning (Coursera, edX, AWS, Google, Microsoft)
2. Data Science / AI
3. 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