AI ML Engineer

Apparel Group
United Arab Emirates
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Communication","Problem-solving","Collaboration","Analytical thinking"]

Develop and deploy advanced ML models and AI-powered solutions for real-world business challenges. Lead end-to-end pipelines, optimize inference for CPU/GPU, and collaborate across teams to integrate AI into production. Emphasize MLOps, data governance, and measurable success criteria while ensuring scalable, robust systems in a retail tech context.

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FursaFursa
Apparel Group
Apparel Group
7 months ago

AI ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Develop and deploy advanced ML models and AI-powered solutions for real-world business challenges. Lead end-to-end pipelines, optimize inference for CPU/GPU, and collaborate across teams to integrate AI into production. Emphasize MLOps, data governance, and measurable success criteria while ensuring scalable, robust systems in a retail tech context.
Location: United Arab Emirates
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Model & Solution Engineering: Translate business problems into ML formulations; select architectures (e.g., gradient boosting, transformers) with clear success metrics. Build end-to-end pipelines and packaging models as reproducible artifacts. Optimize inference for latency and throughput on CPU/GPU. Evaluate beyond accuracy including calibration, fairness, and cost-sensitive metrics.
  • •MLOps, Deployment & Observability: Implement model versioning, lineage, experiment tracking; manage rollbacks and canary releases. Build real-time and batch inference services; monitor schema checks and data drift; create alerting and autoscaling tied to SLAs.
  • •Data Engineering, Quality & Governance: Design data contracts; implement ETL/ELT pipelines (Spark/Databricks); enforce data quality gates and schema evolution; ensure privacy-by-design and secure secrets management.
  • •Experimentation, Product Integration & Stakeholder Enablement: Design experiments (A/B, counterfactual evaluation); integrate models via APIs/SDKs with business rules; produce documentation and present trade-offs to stakeholders.
  • •Product Deployment & Monitoring: Collaborate with cross-functional teams to deploy AI solutions, maintain observability and incident runbooks for model services

Key Requirements

  • •Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field
  • •Proven experience in designing, training, and deploying machine learning models and AI solutions
  • •Strong programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • •Hands-on experience with MLOps tools and practices (Docker, Kubernetes, MLflow, CI/CD pipelines)
  • •Proficiency in data processing and ETL tools (Spark, Databricks) and working with large datasets
Experience:AI & Data Science
Education:Bachelor's in Computer Science/Data Science/AI/ML
Skills:CommunicationProblem-solvingCollaborationAnalytical thinking
Tech Stack:PythonTensorFlowPyTorchScikit-learnDockerKubernetesMLflowCI/CDSparkDatabricksAzureAWSGCPParquetDelta

Company Brief

Apparel Group
Apparel Group is a global fashion and lifestyle retail conglomerate operating a portfolio of international and homegrown brands across store and online channels, managing franchising, wholesale and retail operations across the Middle East, Asia and beyond.
Industry: Omnichannel Retail
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: Dubai, United Arab Emirates
Founded: 1996
WebsiteLinkedIn