Data Scientist
Skills
About This Role
Overview
Data Science Engineer/ML or AI Engineer - Abu Dhabi
About the Role
A fast-growing AI and SaaS technology company is seeking a Data Science Engineer to act as the bridge between its Data Science and Software Engineering teams.
The role focuses on translating machine-learning models and experimentation into reliable, production-ready systems powering AI products.
This is a hands-on position suited to someone with both strong ML knowledge and solid software engineering instincts.
Key Responsibilities
- Work closely with data scientists to operationalise models, features, and experiments.
- Partner with software engineers to integrate ML components into production SaaS platforms.
- Build and maintain data pipelines, feature engineering workflows, and model-serving solutions.
- Improve reliability, scalability, and monitoring of ML systems in production.
- Contribute to MLOps practices including deployment, versioning, and model lifecycle management.
- Act as a technical translator between research-focused and engineering-focused teams.
Ideal Candidate
- Experience as a Machine Learning Engineer, Data Science Engineer, or AI Engineer.
- Proven background deploying ML models into production environments.
- Strong Python skills and experience with ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn).
- Familiarity with cloud-based ML workflows and MLOps tooling.
- Solid understanding of software engineering fundamentals (APIs, services, testing).
- Comfortable working in fast-paced, product-led technology teams.
Why This Opportunity
- Play a key role in turning AI research into production systems.
- Work on cutting-edge AI SaaS products.
- High-impact position with real ownership and visibility.
- Collaborative environment across data science and engineering teams.
- Competitive compensation and benefits.
- Based in Abu Dhabi with exposure to global markets.
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