AI/ML Engineer, >5YOE

Strato Solutions Malaysia; Petaling Jaya; On-site; MYR 120,000 - 240,000; Full time

Job summary

Strato Solutions Malaysia is seeking an AI & ML Engineer to design, build, and deploy machine learning models and AI solutions that transform data into actionable insights. You will collaborate with cross‑functional teams to deliver intelligent solutions that drive business outcomes.

Responsibilities include developing CV and video analytics, advanced analytics, data preparation, predictive modeling, and model monitoring in production. Strong Python and ML framework experience is required.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, Engineering or related field.
• Professional certifications in Data Science / AI are an advantage (e.g., TensorFlow Developer, NVIDIA DLI).
• Strong foundation in mathematics, statistics, probability and linear algebra.

Responsibilities

• Design, build and deploy AI/ML models that convert data into actionable insights.
• Develop computer vision and video analytics to detect objects, estimate speed and flag incidents.
• Create dashboards and visualizations to reveal trends and performance indicators for decisions.
• Prepare data, perform feature engineering, model selection, training and validation.
• Deploy models to production, monitor performance and retrain as needed.
• Ensure model governance, explainability, and ethical AI practices.

Skills

Analytical thinking

Problem solving

Communication

Education

Bachelor’s or Master’s degree in Data Science / CS / AI

Tools

Python

TensorFlow

PyTorch

scikit-learn

OpenCV

PostgreSQL

pandas

Apache Spark

Power BI

Docker

Job description

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:
• 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

• Computer Vision & Image Processing
• Predictive Modeling & Forecasting
• Statistical Analysis
• Python Programming
• SQL & Data Management
• Analytical Thinking & Problem Solving

TOOLS & TECHNOLOGIES

• Python, TensorFlow, PyTorch, scikit-learn, OpenCV, PostgreSQL, pandas, Apache Spark, Power BI, Docker