HubMub
-
Apparel Group

AI ML Engineer

Apparel Group
United Arab Emirates · Full-time · Entry
Key responsibilities

  • Model & Solution Engineering  Translate business problems into ML formulations; select suitable architectures (e.g., gradient boosting, transformers) with clear success metrics.  Build end-to-end pipelines: feature extraction, training, hyperparameter tuning, and packaging models as reproducible artifacts.  Optimize inference (quantization, distillation, mixed precision) for latency and throughput on CPU/GPU.  Conduct evaluation beyond accuracy (calibration, fairness, cost-sensitive metrics, PR/ROC under imbalance).
  • MLOps, Deployment & Observability  Implement model versioning, lineage, and experiment tracking; manage rollbacks and canary releases.  Build real-time and batch inference services; integrate with message buses and vector databases.  Monitor for schema checks, data drift, performance regression, and cost observability.  Create alerting and autoscaling policies tied to SLAs, maintain incident runbooks for model services
  • Data Engineering, Quality & Governance  Design data contracts; implement ETL/ELT pipelines (e.g., Spark/Databricks) with testing and backfills.  Enforce data quality gates and schema evolution strategies to prevent mismatches.  Apply privacy-by-design: PII handling, tokenization, and secure secrets management.  Collaborate on cost-efficient data architectures (tiering, caching, Parquet/Delta formats)
  • Experimentation, Product Integration & Stakeholder Enablement  Design experiments (A/B, counterfactual evaluation); define guardrails and success criteria with product teams.  Integrate models via APIs/SDKs with business rules and fallbacks for graceful degradation.  Produce clear documentation (model cards, decision logs) and present trade-offs to stakeholders.

Qualifications & Skills

 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.

 Knowledge of model optimization techniques (quantization, distillation) and performance tuning for production environments.

 Familiarity with cloud platforms (Azure, AWS, or GCP) and scalable architecture design.

 Understanding of data governance, privacy standards, and compliance requirements.

 Strong analytical and problem-solving skills with attention to detail.

 Excellent communication skills to collaborate with cross-functional teams and present technical concepts clearly.

Key Skills

Ranked by relevance

mlops machine learning kubernetes tensorflow pytorch python docker mlflow cloud spark cicd aws gcp etl ai
Login to Apply
🇦🇪

Country Guide

United Arab Emirates

Tax-friendly regional tech hub

Posted
Mar 31, 2026
Type
Full-time
Level
Entry
Location
United Arab Emirates
Company
Apparel Group

Industries

Retail

Categories

Engineering Information Technology

Related Jobs

3 roles aligned with this opportunity

View all jobs
View Job Details
Jobgether
Related

AI Research Engineer - Pre training

2026-04-10

Full-time
Entry
Italy
Internet Marketplace Platforms
Engineering
View Job Details
Vend
Related

Frontend Developer - Team Communication

2026-04-10

Full-time
Not Applicable
Sweden
Retail
Engineering
View Job Details
Vend
Related

Frontend Developer - Team Communication

2026-04-10

Full-time
Not Applicable
Norway
Retail
Engineering