CloudPSO Inc - Senior Data Scientist (UAE)

Data Scientist is needed in Abu Dhabi, United Arab Emirates.

Client: CloudPSO Inc

Location: Abu Dhabi, AZ, ae

Contract: Contract

Job Description

This is a remote position located in the UAE. A valid UAE work permit/employment visa is mandatory. The position is classified as an Independent Contractor role.

Key Responsibilities

1. Generative AI & NLP for Engineering

• Data Exploration and Analysis: Query and analyse large domain- or topic-specific data sets from structured and unstructured sources, ensuring data quality and meeting requirements for model development.
• Regulation Text Interpretation: Design and refine Large Language Models (LLMs) to parse complex regulatory texts and extract structured rules for automated compliance checking.
• Rule Formalization: Convert regulations into computer-processable formats for downstream compliance engines.
• Querying via NLP: Architect methods for LLMs to map natural language requirements to metadata entities within various schemas.
• RAG Architecture: Implement Retrieval-Augmented Generation pipelines for accurate querying of technical documentation and project data.

2. Predictive Modeling & Optimization (Supply Chain)

• Forecasting Engines: Develop time-series forecasting models to predict spend categories and material demands using ERP data and macroeconomic signals.
• Classification & Risk Scoring: Build machine learning classifiers to categorize supplier risks and operational anomalies, creating dynamic risk scores.
• Data Extraction Pipelines: Design robust pipelines for extracting and transforming raw data into features required for predictive modeling and rule checking.

3. System Integration & Performance

• Model Orchestration: Collaborate with Back End Engineers to integrate AI models into a compliance or risk engine accessible via APIs.
• Optimization: Streamline model performance for processing large datasets or supplier records efficiently.
• Quality Assurance: Validate model outputs against historical data, refining algorithms for reliability.

Requirements

• Core AI/ML: Expert proficiency in Python and standard ML libraries (TensorFlow/PyTorch, Scikit-learn, Pandas, NumPy); strong understanding of supervised and unsupervised learning techniques.
• NLP & LLMs: Deep experience with transformer-based models (GPT, BERT, Llama) and prompt engineering techniques for domain-specific tasks.
• Data Engineering: Proficient in complex data structures (JSON, XML) and database querying (SQL/NoSQL); experience with data extraction from specialized formats is a plus.
• Backend Awareness: Understanding of exposing models via RESTful APIs (Flask/FastAPI) and integrating them into larger architectures.
• Statistics: Solid understanding of statistics, probability distributions, and A/B testing; adept at identifying and mitigating biases in datasets.

Additional Information

This role is an Independent Contractor position, highlighting the need for autonomy and self-management in delivering projects related to AI, natural language processing, and data engineering.