Staff Data ScientistLocation: Abu Dhabi, UAE Company: Confidential Technology Organization Project Focus: Advanced AI Systems & Intelligent Supply... Read more
Staff Data Scientist
Location: Abu Dhabi, UAE
Company: Confidential Technology Organization
Project Focus: Advanced AI Systems & Intelligent Supply Chain
Role Summary
We are seeking a Staff Data Scientist to lead the technical execution of high-impact AI initiatives within a large-scale enterprise transformation programme. In this role, you will move beyond experimental modelling to build production-grade systems that support complex engineering, manufacturing, and procurement processes.
You will act as the technical bridge between unstructured data sources (regulatory text, technical documentation) and structured enterprise systems (BIM/IFC models, ERP platforms). Working within a structured delivery framework, you will design and deploy AI solutions supporting two flagship initiatives:
Advanced Engineering AIIntelligent Supply Chain Analytics (predictive spend, forecasting, and risk analytics)Key Responsibilities
Generative AI & NLP for Engineering AI ProgramsData Exploration & Analysis: Query and analyse large domain-specific datasets from structured and unstructured sources. Identify patterns, features, and data quality requirements prior to model development.Regulatory Text Interpretation: Design and fine-tune Large Language Models (LLMs) to parse complex regulatory and technical documentation and extract structured rules for automated compliance and validation.Rule Formalisation: Convert interpreted regulations into machine-readable formats (such as object-property-condition-value structures) to support automated compliance workflows.Natural Language Querying: Develop methods enabling LLMs to map natural language requirements directly to metadata entities across different schemas.RAG Architecture: Design and implement Retrieval-Augmented Generation (RAG) pipelines capable of querying large repositories of technical documentation and historical project data while minimising hallucinations and maximising accuracy. Predictive Modelling & Supply Chain AnalyticsForecasting Engines: Develop time-series forecasting models to predict spend categories and material demand by combining internal ERP data with external economic indicators.Classification & Risk Scoring: Build machine learning models to classify supplier risks, operational anomalies, and other business-critical events.Data Pipelines: Design robust extraction and transformation pipelines to convert raw data from data platforms, enterprise applications, and external datasets into model-ready features. System Integration & PerformanceModel Orchestration: Collaborate with software engineering teams to integrate AI models into scalable compliance, recommendation, or risk-management platforms accessible through APIs.Performance Optimisation: Ensure AI systems operate efficiently across large datasets through optimisation techniques such as batching, parallelisation, and scalable processing methods.Quality Assurance: Validate model performance against known benchmarks and historical datasets, reducing false positives and false negatives while maintaining enterprise-grade reliability.Technical Requirements
Core AI / ML: Expert-level Python skills and experience with TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy. Strong understanding of supervised and unsupervised learning techniques.NLP & LLMs: Deep experience with transformer-based models (GPT, BERT, Llama, or equivalent), prompt engineering, fine-tuning, and domain adaptation.Data Engineering: Experience working with JSON, XML, SQL, NoSQL databases, and complex data structures. Familiarity with graph-based data models is advantageous.Backend Integration: Understanding of model deployment methodologies and exposure to RESTful API development using Flask, FastAPI, or similar frameworks.Statistics: Strong grounding in statistics, probability, experimentation, model validation, and bias mitigation.Professional Qualifications
Experience: 5+ years of experience in Data Science, Machine Learning, or Applied AI, with a track record of deploying models into production environments.Domain Adaptability: Ability to rapidly understand complex technical domains and translate business requirements into AI-powered solutions.Structured Delivery: Experience working within Agile, Sprint-based, or structured project delivery environments.Collaboration: Strong communication and stakeholder management skills, with the ability to work effectively alongside technical, operational, and business teams.Why This Role?
This opportunity provides the chance to build AI solutions that solve complex real-world challenges at enterprise scale. You will play a key role in developing intelligent systems that improve engineering processes, automate decision-making, enhance operational efficiency, and strengthen supply chain resilience. Join a team focused on transforming data into measurable business outcomes.
GCS is acting as an Employment Business in relation to this vacancy.
Read lessUnited Arab EmiratesContract
We Are Hiring: Machine Learning Engineer / Data Scientist (GenAI & LLM)We are currently hiring for a major... Read more
We are currently hiring for a major enterprise client that is building next-generation AI-powered translation solutions used on a global scale. This is an exciting opportunity to join a fast-growing team focused on leveraging Generative AI, Large Language Models (LLMs), NLP, and Computer Vision to automate the translation of text, image, and video content across 130+ languages and locales.
If you have hands-on experience fine-tuning LLMs, building production-grade machine learning solutions, and solving complex NLP challenges, we'd love to hear from you.
Project OverviewOur client is developing a highly scalable AI-driven translation platform capable of processing millions of content assets daily with minimal human intervention. The platform analyzes text, images, and videos to identify translation opportunities, extract content using OCR and computer vision technologies, generate high-quality translations, and seamlessly render translated content back into its original format.
The team operates with a start-up mindset and is focused on building innovative GenAI solutions from the ground up. This role offers the opportunity to work on large-scale machine learning systems that directly impact global users and support multilingual experiences across more than 130 locales.
Roles & ResponsibilitiesDesign, develop, and deploy scalable Machine Learning and Generative AI solutions for multilingual translation services.Evaluate, fine-tune, and optimize Large Language Models (LLMs) and NLP models for production environments.Build intelligent systems capable of identifying translation opportunities across text, image, and video content.Develop and enhance OCR and Computer Vision models for text extraction, text detection, and content understanding.Select the most appropriate foundation models based on performance, latency, scalability, and business requirements.Fine-tune machine learning models to improve translation accuracy and overall model performance.Develop and maintain AI pipelines supporting translations across 130+ global languages and locales.Collaborate with Machine Learning Engineers, Software Engineers, Product Managers, Data Scientists, and MLOps teams to deliver production-ready solutions.Identify automation opportunities within the translation lifecycle and help eliminate manual processes.Perform data analysis and experimentation to generate insights and drive technical recommendations.Partner with MLOps teams to automate model training, deployment, monitoring, and inferencing processes.Contribute to the development of high-performance, low-latency AI systems operating at enterprise scale.Apply advanced NLP, Machine Learning, Deep Learning, and Generative AI techniques to solve complex multilingual challenges.Communicate technical solutions, findings, and recommendations to both technical and non-technical stakeholders.Research emerging advancements in LLMs, NLP, Computer Vision, and Generative AI to continuously improve platform capabilities.Support the vision of a fully automated translation ecosystem capable of translating millions of content assets daily with minimal human involvement.Ideal BackgroundHands-on experience fine-tuning and optimizing Large Language Models (LLMs).Strong understanding of how foundation models work beyond prompt engineering.Experience building and deploying production-grade machine learning solutions.Strong background in NLP, Machine Learning, Deep Learning, or Generative AI.Proficiency in Python and experience working within large-scale data and AI environments.Experience evaluating and selecting the right AI/ML models for specific business problems.Familiarity with OCR, Computer Vision, model hosting, and MLOps practices is highly desirable.Advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field is preferred.
GCS is acting as an Employment Business in relation to this vacancy.
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