Data Scientist – Machine Learning

Tata Consultancy Services; Dhahran Compound; Hybrid; SAR 262,000 - 338,000; Full time

Job summary

A leading IT services organization is hiring a Data Scientist specializing in machine learning within the Dhahran Compound, Saudi Arabia. The ideal candidate will develop and deploy innovative models, including time series forecasting and neural networks, utilizing frameworks such as PyTorch and HuggingFace. Expertise in IoT systems and model optimization is preferred. This full-time position offers the potential for remote working and collaboration with diverse DevOps teams.

Qualifications

• Develop and deploy machine learning and deep learning models for various applications.
• Experience in optimizing neural network architectures is essential.
• Background in predictive maintenance or industrial IoT is a plus.

Responsibilities

• Design and optimize model architectures using CNNs and RNNs.
• Evaluate model performance with appropriate metrics.
• Collaborate with teams to operationalize models.

Skills

Machine learning

Deep learning

Time series forecasting

NLP

Sensor/IoT data analysis

REST APIs

Collaboration with DevOps

Docker

Tools

HuggingFace

PyTorch

FastAPI

XGBoost

LightGBM

CatBoost

MLflow

Kubeflow

Seldon

Job description

Job Title – Data Scientist – Machine Learning

Company – TCS (MEA)

Location – Dhahran, Eastern, Saudi Arabia

Job type – Full time

About Us :

Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development.

A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world’s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.

Job Description:

Key Responsibilities:

• Develop and deploy machine learning and deep learning models for time series forecasting, NLP, and sensor/IoT data analysis.
• Fine-tune and deploy state-of-the-art (SOTA) models, including LLMs, using frameworks like HuggingFace, and methods like LoRA, Q-LoRA, and full model fine-tuning.
• Implement and evaluate bagging and boosting models (e.g., XGBoost, LightGBM, CatBoost) for structured and sensor data.
• Design and optimize neural network architectures, including CNNs, RNNs, Transformers, and attention-based models using PyTorch.
• Build and evaluate model performance using appropriate metrics and validation strategies.
• Work with smart sensor data and IoT systems, extracting features and building predictive models for anomaly detection, failure prediction, and optimization.
• Develop and expose model inference as REST APIs using FastAPI or similar web frameworks.
• Collaborate with DevOps and engineering teams to operationalize models using Docker, CI/CD pipelines, and cloud platforms.
• Maintain and improve data pipelines, feature engineering, and model monitoring in production environments.

Preferred Qualifications:

• Experience with edge computing, GPU acceleration, or model optimization for real-time inference.
• Exposure to MLOps tools or platforms such as MLflow, Kubeflow, or Seldon.
• Background in industrial IoT, predictive maintenance, or smart systems is a plus.
• Familiarity with time-series databases or historians (e.g., InfluxDB, DAHS) is a plus.

Thank you for expressing interest in this role at TCS. We will review your application and reach out to you if your profile aligns with our requirements for this opportunity.

Application Deadline :

31 -Dec-2025

Privacy Note:

https://www.tcs.com/connect-with-tcs/privacy-policy