Kerja Sepenuh Masa, AI-ML Engineer di Strato Solutions Malaysia Selangor - Maukerja

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 Insights