AI/ML Engineer, >5YOE

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 RESPONSIBILITIESDEVELOP AI & ML SOLUTIONSDesign, build and train machine learning and deep learning models for classification, regression, clustering, time series forecasting, recommendation systems and more.COMPUTER VISION & VIDEO ANALYTICSDevelop 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 & INSIGHTSCreate dashboards, analytical reports and visualizations that reveal trends, patterns and performance indicators to support operational and strategic decisions.DATA PREPARATION & MODELINGTransform raw data into high-quality datasets. Perform feature engineering, model selection, training, validation and hyperparameter tuning.PREDICTIVE MODELING & FORECASTINGBuild predictive models for traffic flow, demand forecasting and incident likelihood to enable proactive planning and decision-making.MODEL DEPLOYMENT & MONITORINGDeploy AI/ML models to production environments, monitor performance, detect drift and retrain models to maintain accuracy and reliability.MODEL GOVERNANCE & ETHICSEnsure models are explainable, unbiased, secure and compliant with data privacy requirements and ethical AI practices.COLLABORATE & INNOVATEWork closely with data engineers, developers, domain experts and stakeholders to deliver innovative, data-driven solutions that create real impact.REQUIRED QUALIFICATIONSBachelor’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 / AITensorFlow Developer / NVIDIA DLI / Databricks / etc.Strong foundation in mathematics, statistics, probability and linear algebra.REQUIRED EXPERIENCEMinimum 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 COMPETENCIESMachine Learning & Deep LearningComputer Vision & Image ProcessingData Analytics & VisualizationPredictive Modeling & ForecastingStatistical AnalysisPython ProgrammingBig Data & Data Engineering ConceptsMLOps & Model DeploymentSQL & Data ManagementAnalytical Thinking & Problem SolvingCommunication & CollaborationInnovation & Continuous LearningTOOLS & TECHNOLOGIESPython, TensorFlow, PyTorch, scikit-learn, OpenCV, PostgreSQL, pandas, Apache Spark, Power BI, DockerWHAT YOU WILL WORK ONReal-time Traffic AnalyticsIncident Detection & AlertsTraffic Flow & Congestion PredictionVehicle Classification & CountingTravel Time & Speed EstimationOperational & Strategic Insights