MLOps Platform Engineer​/Artificial Intelligence Engineer

Position: MLOps Platform Engineer / Artificial Intelligence Engineer
# MLOps Platform Engineer / Artificial Intelligence Engineer,February 15, 2026###

Job Description
*
* Location:

** Dubai, UAE  
** Work Model:
** On-site  
** Role Type:
** Full-Time We are looking for an
** MLOps Platform Engineer / Artificial Intelligence Engineer
** with strong experience in machine learning systems and cloud-based AI deployment to join our client’s on-site team in Dubai.  This role focuses on designing, prototyping, and integrating advanced AI solutions into an existing enterprise architecture, helping build systems that augment human decision-making, streamline workflows, and improve operational effectiveness.

---###
** What You’ll Do
*** Design and develop AI-driven solutions from concept through production deployment
* Prototype new machine learning models and write production-quality AI code
* Integrate AI capabilities into existing enterprise software architecture
* Collaborate with system engineers, software developers, and domain experts to define optimal AI approaches
* Present technical solutions clearly, explaining trade-offs to both technical and non-technical stakeholders
* Conduct exploratory data analysis on structured and unstructured datasets to assess quality and modelling readiness
* Build, train, evaluate, and validate machine learning models ensuring performance, reliability, and robustness
* Implement testing and validation strategies to ensure model accuracy and reduce bias
* Continuously evaluate new AI/ML technologies and methodologies to improve existing systems
* Deploy and manage machine learning workloads using
** Amazon Web Services
** and modern MLOps practices---###
** What We’re Looking For**####
** Required Skills & Experience
*** Strong hands-on experience designing and deploying AI or machine learning solutions
* Experience integrating AI systems into production software environments
* Solid background in machine learning model development and evaluation
* Experience performing exploratory data analysis across complex datasets
* Practical experience with cloud-based ML deployment and lifecycle management
* Familiarity with MLOps workflows for model deployment, monitoring, and scaling
* Strong collaboration and communication skills in cross-functional engineering environments
* Ability to work effectively on-site with engineering and operational teams---####
** Nice to Have
*** Experience supporting enterprise-scale AI platforms
* Knowledge of production monitoring and model performance tracking
* Experience working in mission-critical or high-reliability environments
* Familiarity with secure data handling and regulated environments--
- *
* Location:

** Dubai, UAE   
** Work Model:
** On-site   
** Role Type:
** Full-Time  
** Visa/Sponsorship:
** Provided for eligible candidates

Location,Experience level

Mid–Senior level## Work Location
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