AI/ML Engineer, >5YOE

Strato Solutions Malaysia; Petaling Jaya; Sur place; MYR 180 000 - 360 000; Plein temps

Résumé du poste

Strato Solutions Malaysia is seeking an experienced AI & ML Engineer to design, build and deploy ML models and AI solutions that turn complex data into actionable insights. You will develop, evaluate and implement models and collaborate with cross-functional teams to deliver intelligent solutions that drive business outcomes.

The role covers computer vision, advanced analytics, data preparation, predictive modeling, model governance and monitoring, with a focus on production readiness and

Qualifications

• Degree in data science, CS, AI, statistics, maths or engineering.
• Professional certifications are an advantage: Data Science/AI.
• Strong foundation in mathematics, statistics, probability and linear algebra.

Responsabilités

• Develop and deploy AI/ML solutions.
• Design, build and train models for classification, regression and forecasting.
• Computer vision and video analytics model development and optimization.
• Create dashboards and visualizations to reveal trends and KPIs.
• Data preparation, feature engineering and model evaluation.
• Predictive modeling and forecasting for traffic, demand and incidents.
• Model deployment, monitoring, drift detection and retraining.
• Ensure governance, ethics and data privacy in AI solutions.
• Collaborate with data engineers, developers and stakeholders.

Connaissances

Python programming

ML fundamentals

Statistics

Analytical thinking

Data analysis

Formation

Bachelor’s or Master’s degree in Data Science, CS, AI, Statistics, Mathematics

Outils

TensorFlow

PyTorch

scikit-learn

OpenCV

PostgreSQL

Power BI

Docker

Description du poste

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