Senior Machine Learning & AI Engineer

Talenzon group; Dubai; On-site; AED 279,000 - 390,600; Full time

Benefits offered by this job

Visa/Sponsorship provided for eligible candidates

Job summary

A leading tech firm is seeking a Senior Machine Learning & AI Engineer in Dubai to develop advanced machine vision and deep learning solutions. In this full-time role, you'll design and implement intricate algorithms, build and evaluate ML models, and deploy systems in production—ensuring top-notch performance. The ideal candidate will have a bachelor's degree in a related field and 3–5 years of experience in AI engineering. Strong Python proficiency and knowledge of AWS are required for this position.

Qualifications

• 3–5 years of experience in machine vision and AI engineering.
• Strong hands-on experience with CNNs and object detection methods.
• Experience with version control and CI/CD tools.

Responsibilities

• Design and implement machine vision and AI algorithms.
• Build, train, and evaluate ML and deep learning models.
• Deploy models into production environments.

Skills

Machine vision

Deep learning

Python

AWS

Data manipulation

Education

Bachelor’s degree in Data Science, Computer Science, or related field

Tools

TensorFlow

PyTorch

OpenCV

VS Code

Job description

# Senior Machine Learning & AI Engineer,December 10, 2025### Job Description**On behalf of our client, we are seeking a Senior Machine Learning & AI Engineer – Dubai, UAE (Full-Time Permanent Role).**Our client is looking for a hands-on ML/AI Engineer to develop and deploy advanced machine vision and deep learning solutions. You will work on-site in Dubai, leading end-to-end AI initiatives—from data preparation to production deployment—and collaborating closely with cross-functional teams.---## **Key Responsibilities**Design and implement machine vision and AI algorithms using Python and libraries such as OpenCV, NumPy, SciPy, and Pandas. Build, train, and evaluate ML and deep learning models (TensorFlow, PyTorch, Keras) for image classification, object detection, and segmentation. Develop preprocessing, augmentation, and data quality pipelines for image datasets. Define metrics, create test sets, and conduct rigorous validation of models. Deploy models into production environments using AWS (Sagemaker, EC2), edge devices, and internal APIs. Monitor, optimise, and improve performance and scalability of deployed AI systems. Collaborate with engineering, operations, and business teams to translate requirements into technical solutions. Provide technical leadership and mentorship to junior engineers. Maintain clear documentation and follow best practices in version control and CI/CD. Stay updated on emerging AI/ML techniques and evaluate their applicability.---## **Required Experience and Skills**Bachelor’s degree in Data Science, Computer Science, Software Engineering, IT, or related field. 3–5 years of experience in machine vision and AI engineering. Strong hands-on experience with CNNs, object detection (R-CNN, YOLO), and segmentation methods. Familiarity with modern approaches such as vision transformers and foundation models. Proficiency in Python and tools like VS Code, Jupyter, or Anaconda. Experience with visualisation libraries (Matplotlib, Seaborn). Knowledge of SQL/NoSQL databases and data manipulation techniques. Experience with Git-based workflows and CI/CD tools. Cloud experience (AWS, Azure, or GCP) for ML/AI workloads. Strong communication skills and ability to manage full project lifecycles. Language: **English** required.---## **Preferred Skills**Experience with C++, C#, or Java. Background in manufacturing or service environments. Certifications in ML/AI or machine vision. Experience using AWS for production AI systems. Master’s or Ph.D. in a relevant field.---## **Additional Information**Location: Dubai, UAE — On-site Role Type: Full-Time, Permanent Visa/Sponsorship: Provided for eligible candidates Start Date: ASAPLocation,Experience levelMid–Senior level## Work Location