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Machine Learning Engineer

Wynn Al Marjan Island

Ras Al Khaimah

On-site

AED 200,000 - 300,000

Full time

Yesterday
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Job summary

A luxury beachside resort in the UAE is seeking a Machine Learning Engineer to join their IT Data Analytics team. The successful candidate will be responsible for building and managing end-to-end ML pipelines, deploying models, and ensuring strong data quality. Candidates should have 3–5 years of experience in Python development and a strong background in Azure Databricks. Benefits include an attractive salary in AED, healthcare, life insurance, and excellent leave policies.

Benefits

Attractive salary
Healthcare package
Life insurance
Incentive programs

Qualifications

  • 3–5 years of hands-on Python development for AI/LLM applications.
  • Ability to build enterprise-grade ML engineering platforms.
  • Strong expertise in Azure Databricks for scalable training and deployment.

Responsibilities

  • Build and manage ML pipelines using Databricks and AutoML.
  • Deploy and monitor ML models using Python.
  • Collaborate cross-functionally to enhance knowledge sharing.

Skills

Python development
ML engineering
Azure Databricks
GenAI deployment
DevOps best practices
REST APIs

Tools

Databricks
MLflow
Docker
Azure
Snowflake
Job description
Job Description
About Wynn Al Marjan Island

On schedule to open in the United Arab Emirates in Spring 2027, Wynn Al Marjan Island has been created as an opulent and entertaining beachside destination for discerning guests to play and relax. Located less than 50 minutes from Dubai International Airport, this integrated resort offering 1,530 rooms and suites, 22 restaurants and lounges, a theatre, nightclub, and five‑star spa is currently under construction on a picturesque island that gracefully curves into the Arabian Gulf.

About The Position

Wynn Al Marjan Island is currently seeking a Machine Learning Engineer to join the IT Data Analytics team.

Responsibilities
  • Build and manage end-to-end ML pipelines using Databricks, Delta Lake, MLflow, and AutoML
  • Design, deploy, and monitor ML/GenAI models and low‑latency endpoints using Python and LLM frameworks
  • Maintain ML production systems with strong data quality, guardrails, and observability
  • Develop secure REST APIs, web endpoints, and containerized Azure deployments (Docker)
  • Implement IaC (YAML), CI/CD, automated testing, and DevOps best practices
  • Ensure model governance and compliance (Model Context Protocol, A2A) with clear architectural documentation
  • Collaborate cross‑functionally and lead knowledge sharing through workshops and reviews
About You
  • 3–5 years of hands‑on Python development experience building modular, scalable, and efficient AI/LLM applications
  • Proven ability to build, scale, and lead enterprise‑grade ML engineering platforms, including real‑time/low‑latency inference systems
  • Strong expertise with Azure Databricks (MLflow, Feature Store, AutoML, Unity Catalog) for scalable training, model management, and production deployment
  • Experience implementing AI agents or autonomous workflows using LangGraph, CrewAI, LangChain, and related LLMOps/GenAI frameworks
  • Skilled in deploying GenAI and ML use cases across Databricks and Snowflake ecosystems (Cortex, Document AI, Snowpark ML)
  • Ability to integrate leading LLMs (OpenAI GPT, Claude, Grok) to enhance unstructured data processing, summarization, and decision support
  • Background in experimentation, feature engineering, model monitoring, with bonus qualifications such as deep learning/NLP research or Azure Databricks/Snowflake certifications
About Wynn Al Marjan Island’s Benefits

We offer an attractive salary, paid in Dirhams (AED), the local currency of the UAE. In addition, we offer an excellent leave policy, a healthcare package, life insurance, incentive programs, and other employee benefits. The result is a package that makes this role highly attractive to outstanding applicants seeking a career with Wynn Resorts, among the most renowned and celebrated brands in the global hospitality industry.

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