Gen AI Data Scientist

Role Overview

This opening is for a Gen AI Data Scientist based in Dhahran, Saudi Arabia, with a requirement of more than 5 years of experience. The expected notice period is immediate to 15 days. The position is full-time and on-site.

What You Will Do

• Create, train, and put into production machine learning and deep learning solutions for forecasting over time, language-based use cases, and sensor or IoT datasets.
• Adapt and deploy advanced models, including large language models, using HuggingFace and fine-tuning approaches such as LoRA, Q-LoRA, and complete model tuning.
• Apply ensemble techniques such as bagging and boosting, including XGBoost, LightGBM, and CatBoost, for structured and sensor-driven data.
• Build and refine neural network designs like CNNs, RNNs, Transformers, and attention-focused architectures with PyTorch.
• Measure model effectiveness using suitable evaluation metrics and validation methods.
• Work with smart sensor and IoT data to derive features and develop predictive systems for anomaly detection, failure prediction, and optimization.
• Publish model inference through REST APIs using FastAPI or comparable frameworks.
• Partner with DevOps and engineering teams to move models into production using Docker, CI/CD workflows, and cloud environments.
• Support and enhance data pipelines, feature engineering processes, and production model monitoring.

Requirements

• At least 5 years of experience in data science, machine learning, or related applied AI work.
• Strong hands-on knowledge of deep learning, time series forecasting, NLP, and sensor or IoT analytics.
• Practical experience with HuggingFace and techniques such as LoRA, Q-LoRA, and full fine-tuning of LLMs.
• Ability to work with ensemble methods like XGBoost, LightGBM, and CatBoost.
• Proficiency in PyTorch and familiarity with CNNs, RNNs, Transformers, and attention mechanisms.
• Experience building model validation, testing, and performance evaluation workflows.
• Understanding of feature engineering, data pipelines, and production monitoring for ML systems.
• Knowledge of API development with FastAPI or similar web frameworks.
• Experience collaborating with DevOps teams, including Docker, CI/CD, and cloud deployment practices.

Additional Information

Notice period requirement: immediate to 15 days.

Location: Dhahran, Eastern, Saudi Arabia.

Employer: RiDiK, a subsidiary of CLPS (Nasdaq: CLPS).

Employment Details

This is a full-time, on-site role.