MLOps Platform Engineer / Artificial Intelligence Engineer

Talenzon group; Dubai; On-site; AED 293,793 - 403,966; Full time

Job summary

An innovative technology firm in Dubai is seeking an MLOps Platform Engineer / Artificial Intelligence Engineer to design and develop AI-driven solutions. The ideal candidate will have strong experience in machine learning systems and cloud-based AI deployment. Responsibilities include integrating AI into production architecture, constant evaluation of new AI technologies, and collaboration with engineering teams. This full-time position will support eligible candidates for visa or sponsorship.

Qualifications

• 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.

Responsibilities

• Design and develop AI-driven solutions from concept through production deployment.
• Prototype new machine learning models and write production-quality AI code.
• Collaborate with engineers to define optimal AI approaches.

Skills

Designing and deploying AI solutions

Integrating AI systems into production

Machine learning model development

Exploratory data analysis

Cloud-based ML deployment

MLOps workflows

Collaboration and communication skills

Tools

Amazon Web Services

Job description

# MLOps Platform Engineer / Artificial Intelligence Engineer,February 15, 2026### Job Description**Location:** Dubai, UAE **Work Model:** On-site **Role Type:** Full-TimeWe 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 candidatesLocation,Experience levelMid–Senior level## Work Location