Programmer (AI/ML) Operational Digital Twin

Job Description Roles & Responsibilities Parsons is seeking a Programmer (AI/ML) to support the end-to-end delivery of a large-scale Geospatial Digital Twin programme for a major national infrastructure owner in the Middle East. This multi-year initiative will design, build, and operationalize an Operational Digital Twin platform that integrates geospatial data, real-time IoT/SCADA feeds, asset information, and core enterprise systems to enable data-driven planning, operations, and maintenance. The role will work closely with the Software Development Lead, Data & Architecture team, and a team of international experts, developers, and engineers. The scope spans discovery and stakeholder engagement, analytical use case design, proof-of-concept delivery, implementation of a production-grade environment, post-implementation support, and structured training and knowledge transfer. The Programmer (AI/ML) will help design and implement analytical and machine-learning components, support data preparation and feature engineering, contribute to testing and performance tuning of models and services, and assist in ensuring that AI/ML capabilities are robust, explainable, and aligned with key Digital Twin use cases. What You ll Be Doing Support the Software Development Lead and Data & Architecture team in designing and implementing AI/ML components for the Operational Digital Twin across discovery, PoC, implementation, and post implementation support phases. Assist in preparing and transforming data for modelling (including cleaning, joining, aggregating, and feature engineering) using structured, time series, and geospatial datasets. Develop an AI-powered knowledge and query assistant leveraging large language models and a retrieval augmented generation engine. Help develop, train, and validate AI/ML models (e.g. for prediction, classification, anomaly detection, optimisation, or forecasting) using agreed tools, libraries, and frameworks. Develop and deploy trained models as scalable services or microservices, integrating them with the Digital Twin platform and upstream/downstream applications and APIs. Assist in implementing monitoring, performance tracking, and periodic retraining processes for models, and in troubleshooting issues related to data drifts, accuracy, or stability. Help document AI/ML components, including data assumptions, model choices, limitations, and usage guidelines, and support knowledge transfer and handover to client and operations teams. What Required Skills You ll Bring Degree in computer science, data science, engineering, mathematics, or a related technical discipline from an accredited institution. Experience developing AI/ML solutions using languages and libraries such as Python, Pandas, NumPy, scikit-learn, and deep learning frameworks (e.g., TensorFlow and PyTorch). Working knowledge of core machine learning concepts (feature engineering, model selection, training/validation, overfitting, evaluation metrics) and basic statistics. Experience with data preparation and handling of large or complex datasets, ideally including time series, sensor, or geospatial data. Familiarity with geospatial platforms (e.g., Esri ArcGIS) and using spatial data as features in analytical models. Exposure to deploying models to production (e.g., as APIs, batch jobs, or streaming components) and to integrating them with applications or data platforms. Experience working within multidisciplinary, multinational teams across multiple time zones. Strong organisational and coordination skills, with some experience in structured project or delivery environments (e.g., PMI, PRINCE2, Agile/Hybrid). Exposure to testing, acceptance, or go live activities for analytical or data driven solutions. Excellent communication and documentation skills, with the ability to clearly explain data, models, and results to non technical stakeholders. Fluency in spoken and written English; Arabic language skills are a strong advantage. What Desired Skills You ll Bring Prior work with national infrastructure owners, transport authorities, utilities, or public works organisations. Experience applying AI/ML in Digital Twin, smart city, asset management, or operations optimisation contexts. Experience working with cloud platforms (e.g., Azure, AWS) and modern data/ML tooling (e.g., MLflow, Databricks, Azure ML, or similar). Professional certifications in data science, machine learning, or cloud data/AI services. Desired Candidate Profile Degree in computer science, data science, engineering, mathematics, or a related technical discipline from an accredited institution. Experience developing AI/ML solutions using languages and libraries such as Python, Pandas, NumPy, scikit-learn, and deep learning frameworks (e.g., TensorFlow and PyTorch). Working knowledge of core machine learning concepts (feature engineering, model selection, training/validation, overfitting, evaluation metrics) and basic statistics. Experience with data preparation and handling of large or complex datasets, ideally including time series, sensor, or geospatial data. Familiarity with geospatial platforms (e.g., Esri ArcGIS) and using spatial data as features in analytical models. Exposure to deploying models to production (e.g., as APIs, batch jobs, or streaming components) and to integrating them with applications or data platforms. Experience working within multidisciplinary, multinational teams across multiple time zones. Strong organisational and coordination skills, with some experience in structured project or delivery environments (e.g., PMI, PRINCE2, Agile/Hybrid). Exposure to testing, acceptance, or go live activities for analytical or data driven solutions. Excellent communication and documentation skills, with the ability to clearly explain data, models, and results to non technical stakeholders. Fluency in spoken and written English; Arabic language skills are a strong advantage. Company Industry ConstructionCivil Engineering Department / Functional Area IT Software Keywords Programmer (AI/ML) Operational Digital Twin Get real-time job updates only on our App