Data Scientist - Machine Learning

Transguard Workforce Solutions is the UAE's leading provider of unique and innovative HR solutions. With a decade of experience in the region and a team that possesses extensive knowledge of the market, we provide a fully integrated HR solution.

We are currently recruiting for an Data Scientist - Machine Learning for our client to be based out of their Dubai office.

Job Purpose

The role is responsible for designing, developing, and productionizing AI/ML models that deliver measurable business impact. It owns the full lifecycle from framing business problems and shaping datasets to model training, deployment with MLOps best practices, and postlaunch monitoring. The role ensures models are accurate, reliable, and aligned with business objectives, while translating complex business requirements into actionable AI solutions and promoting transparency across key processes and performance indicators.

Responsibilities

Design, train, validate, and deploy advanced ML/DL models (NLP, CV, transformers, statistical learning).

Optimize models for accuracy, scalability, and latency to ensure production readiness.

Apply Responsible AI principles, including fairness, bias detection, and explainability.

Build and manage pipelines, feature stores, and ingestion frameworks (real-time and batch).

Implement MLOps practices: CI/CD workflows, registries, automated retraining, and observability. Monitor and resolve issues related to data drift, leakage, and model reliability

Ensure compliance with GDPR, ISO standards, ICAO digital/AI frameworks, and organizational policies.

Promote transparency of AI-driven KPIs and processes across the enterprise.

Conduct fairness audits, model explainability, and ethical risk assessments.

Translate complex, ambiguous business challenges into AI/ML opportunities.

Define scope, feasibility, and expected value of AI initiatives.

Advise stakeholders on risks, trade-offs, and adoption strategies.

Professional Certification Requirements: Professional certification in Machine Learning (preferred)

Relevant Experience (Years): 5-6 Years

Skills, Tools, and Systems Experience:

Programming & Data Science: Python, R, SQL, StreamLit

ML & AI Frameworks: TensorFlow, PyTorch, Keras, scikit-learn, Hugging Face

MLOps & Deployment: Docker, Kubernetes, Git CI/CD

Data Engineering: Apache Spark, Kafka, dbt

Cloud Platforms: Azure ML

Visualization: Power BI, Tableau

Responsible AI Tools: AI Governance Platform (e.g. Atlan)