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Programmer (AI/ML) – Operational Digital Twin

Parsons Corporation · Doha et périphérie

New
🇬🇧 English
Large Language Models Data preparation Feature engineering

Job description

About the role

Parsons is looking for a Programmer (AI/ML) to contribute to a large‑scale Geospatial Digital Twin programme for a national infrastructure owner in the Middle East. You will work across discovery, proof‑of‑concept, implementation and post‑implementation phases, helping to design and operationalise AI/ML components that power the Operational Digital Twin platform.

Key responsibilities

  • Support the Software Development Lead and Data & Architecture team in designing AI/ML solutions for the Digital Twin.
  • Prepare and transform structured, time‑series and geospatial data for modelling, including cleaning, joining, aggregating and feature engineering.
  • Develop an AI‑powered knowledge and query assistant using large language models and a retrieval‑augmented generation engine.
  • Train, validate and deploy AI/ML models (prediction, classification, anomaly detection, optimisation, forecasting) as scalable services or micro‑services.
  • Implement monitoring, performance tracking and periodic retraining processes, and troubleshoot data drift or accuracy issues.
  • Document model assumptions, choices, limitations and usage guidelines, and support knowledge transfer to client and operations teams.

Required profile

  • Degree in Computer Science, Data Science, Engineering, Mathematics or a related technical discipline.
  • Experience with AI/ML development lifecycle, from data preparation to model deployment.
  • Ability to work collaboratively with international experts, developers and engineers.

Required skills

  • AI/ML development
  • Large Language Models
  • Retrieval‑augmented generation
  • Data preparation and feature engineering
  • Micro‑service architecture and API integration
  • Model monitoring and performance tracking

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Published 2 weeks ago

Expires 1 month from now

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Parsons Corporation

Doha et périphérie