Data Scientist – Abu Dhabi | MindPool Technologies

Company Overview:

MindPool Technologies is a premier, highly successful global technology consulting organization, elite digital talent incubator, and leading regional innovator in high-performance cognitive computing architectures expanding its enterprise data systems group in Abu Dhabi, United Arab Emirates. Built upon world-class algorithmic auditing metrics, rigid model validation benchmarks, and progressive cloud infrastructure frameworks, the company orchestrates complex digital product pipelines, coordinates mathematical system scaling, and ensures absolute organizational alignment with international data compliance protocols, municipal IT security directives, and advanced technical performance standards.

Job Description:

We are executing a strategic professional appointment within our core cognitive solutions branch and are seeking an experienced, operationally authoritative Data Scientist to govern predictive intelligence pipelines and direct applied machine learning pathways in Abu Dhabi. Configured for systematic analytical solutions architects who possess an advanced mathematical command of natural language parsing and excel at engineering production-grade deep learning models within fast-moving corporate ecosystems, this full-time track focuses on accelerating inference velocities, auditing automated data pipeline pipelines, and maximizing model accuracy parameters across our integrated information technology jobs and engineering jobs networks.

🔹 Key Responsibilities:

• Design, develop, tune, and optimize complex Machine Learning, Deep Learning, and statistical predictive models for high-value business applications.
• Build, deploy, and monitor scalable AI infrastructure and automated data pipelines using modern data science tools and containerization software.
• Develop, fine-tune, and deploy advanced Natural Language Processing (NLP) solutions, tokenizers, and transformer-based semantic architectures.
• Analyze multi-terabyte un-structured datasets to isolate hidden operational insights, generate data profiles, and improve overall predictive performance metrics.
• Collaborate seamlessly with cross-functional software engineers, data architects, and product leads to integrate analytical models securely into production.
• Maintain, audit, and systematically enhance machine learning systems throughout their complete operational lifecycle, mitigating data drift vulnerabilities.
• Configure microservices architectures and build high-performance backend pipelines to process real-time vector queries.
• Document algorithm configurations, write evaluation metrics dashboards, and publish system performance audits for administrative tracking.

🔹 Requirements:

• Bachelor’s Degree in Artificial Intelligence, Data Science, Computer Science, Engineering, Mathematics, or a closely related quantitative field from an accredited university, establishing a robust theoretical mastery of linear algebra, probability matrices, and computational complexity.
• A minimum of 6 or more years of verified, high-performance professional history operating within an applied machine learning environment, leading data science tracks, or deploying statistical software models, showing immediate baseline readiness for on-site execution. Candidates must currently be based within the United Arab Emirates with total availability to join immediately in Abu Dhabi.
• Advanced technical workspace data literacy with sharp capabilities structuring multi-layered processing matrices, filtering feature indices, and organizing model telemetry data logs inside Microsoft Excel databases.
• Deep, comprehensive operational knowledge across the following primary functional dimensions:
  • TensorFlow, PyTorch, and Scikit-learn frameworks, neural network training loops, layer configurations, and computational optimization steps.
  • NLP, Transformers, Hugging Face, spaCy, and Gensim libraries, embedding generation, semantic modeling, and token handling rules.
  • SQL query profiling, Pandas dataframes, Apache Spark processing, Docker orchestration, REST APIs, and MLflow lifecycle tracking pipelines.
  • Large Language Models (LLMs) mechanics, prompt parameters, fine-tuning logic, vector database management, and contextual safety boundaries.
  • Cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform (GCP), automated storage architectures, and compute nodes.
• Outstanding written and verbal technical communication talents, sharp analytical troubleshooting habits under challenging production deadlines, absolute attention to mathematical and algorithmic details, and an exceptionally precise, results-driven attitude under a unified corporate management framework.

What We Offer:

• Competitive baseline fixed monthly salary package structured from AED 5,000 to 6,000, determined entirely by past quantitative portfolio defense, live Python coding evaluations, and transformer integration simulations during panel interviews.
• An elite opportunity to capture total operational custody over enterprise predictive pipelines and cognitive computing frameworks within a major technology firm.
• Stable career advancement pathways backed by major corporate footprint growth and clear internal channels for principal data scientists, AI development directors, regional technology operations heads, or specialists moving toward data architecture strategy and internal corporate training or hr jobs pipelines.