Senior Data Scientist (m/f/d)

Halian; Abu Dhabi; On-site; AED 441,000 - 661,000; Full time

Job summary

Halian is seeking a Senior Data Scientist with 7+ years of experience to join our AI team in Abu Dhabi. The role focuses on production-grade ML solutions, scalable data-driven projects, and hands-on work with LLMs and Generative AI.

You will design end-to-end ML pipelines, mentor juniors, and collaborate with data engineers, software engineers, and product managers to deliver measurable business impact. A strong background in statistical modeling, cloud platforms, MLOps, and communication skills

Qualifications

• 7+ years of experience in Data Science and ML.
• Production-grade ML model development and deployment.
• Strong stats, predictive modeling, and data-driven decision making.
• Proficiency in Python and ML frameworks.
• Experience with Azure, AWS, or Google Cloud.
• Familiarity with MLOps and ML lifecycle management.

Responsibilities

• Design, develop, and deploy ML models for predictive analytics and decision-support.
• Build and maintain end-to-end ML pipelines and production-ready AI solutions.
• Apply LLMs, Generative AI, RAG, and prompt engineering to business problems.
• Analyze large datasets to identify trends and insights.
• Lead model development activities: feature engineering, training, validation, deployment, monitoring.
• Collaborate with Data Engineers, Software Engineers, Product Managers, and stakeholders to deliver scalable AI/ML solutions.
• Monitor and improve model performance, reliability, and scalability in production.
• Communicate findings to technical and non-technical audiences.
• Mentor junior team members and contribute to AI/ML best practices.

Skills

Python

PyTorch

TensorFlow

Scikit-learn

LLMs

Generative AI

Retrieval-Augmented Generation

Cloud platforms

MLOps

CI/CD

Education

Bachelor's or Master's in Computer Science/Data Science/AI/Math/Stats

Tools

LangChain

LlamaIndex

Semantic Kernel

Job description

Job description

Role Overview

We are seeking a Senior Data Scientist with 7+ years of experience in Data Science and Machine Learning to join our growing AI team. The ideal candidate will have a strong track record of developing and deploying production-grade machine learning solutions and hands‑on experience with modern AI technologies, including Large Language Models (LLMs) and Generative AI. This role will focus on delivering scalable, data‑driven solutions that solve complex business challenges and create measurable impact.

Key Responsibilities

• Design, develop, and deploy machine learning models for predictive analytics, optimization, automation, and decision‑support applications.


• Build and maintain end‑to‑end ML pipelines and production‑ready AI solutions.


• Apply Large Language Models (LLMs), Generative AI, Retrieval‑Augmented Generation (RAG), and prompt engineering techniques to real‑world business problems.


• Analyze large and complex datasets to identify trends, generate insights, and support strategic decision‑making.


• Lead model development activities, including feature engineering, training, validation, deployment, monitoring, and performance optimization.


• Collaborate with Data Engineers, Software Engineers, Product Managers, and business stakeholders to deliver scalable AI/ML solutions.


• Monitor and improve model performance, reliability, and scalability in production environments.


• Communicate technical findings and recommendations to both technical and non‑technical audiences.


• Mentor junior team members and contribute to AI/ML best practices across the organization.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related field.


• 7+ years of experience in Data Science and Machine Learning.


• Proven experience designing, developing, deploying, and maintaining machine learning models in production environments.


• Strong expertise in statistical analysis, predictive modeling, experimentation, and data‑driven decision making.


• Hands‑on experience with Large Language Models (LLMs), Generative AI, Retrieval‑Augmented Generation (RAG), prompt engineering, or AI agent frameworks.


• Strong programming skills in Python and experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit‑learn.


• Experience with cloud platforms such as Azure, AWS, or Google Cloud.


• Familiarity with MLOps practices, CI/CD pipelines, model monitoring, and ML lifecycle management.


• Excellent problem‑solving, communication, and stakeholder management skills.

Preferred Qualifications

• Experience building and deploying LLM‑powered applications in production environments.


• Knowledge of vector databases and AI frameworks such as LangChain, LlamaIndex, or Semantic Kernel.


• Experience with NLP, recommendation systems, deep learning, or other advanced AI/ML domains.


• Experience mentoring Data Scientists or leading technical initiatives.