Machine Learning Engineer jobs in United Arab Emirates
Machine Learning Engineer
Info Resume Edge
Machine Learning Engineer – Generative AI (LLMs / RAG / Agentic AI)
Stellar Technologies
Machine Learning Engineer - LLMs, RAG & GenAI for Government & Public Sector
Apt Resources
Data Engineer
Bayut | dubizzle
Discover more opportunities than anywhere else. Find more jobs nowData Analyst (Trading Metrics & Backtesting Support)
Ladwig consulting
Data Analyst - UAE National Only, ICQA/LND Analytics Team
Amazon
Research & Data Analyst
Nathan & Nathan
Connect with headhunters to apply for similar jobsSenior Data Engineer
BHFT
Senior Data Engineer
Foodics
Lead Data Scientist
Visionary Tech Services LLC
Junior Data Analyst - UAE National only (Emirati)
GluCare
Analytics Engineer / Senior Data Analyst
Deluxe Holiday Homes
Data Scientist_KAZ-DS-0109-S1
Sundus
AI Automation Specialist (n8n, API Integrations, WhatsApp Automation, Agentic AI)
DRS Holding AG
Senior Data Engineer
Property Finder Group
Graduate Sustainability Data Analyst — Power BI & Reporting
dmg events
Sustainability Data Analyst
dmg events
Machine Learning Engineer
Job summary
An innovative tech company in Sharjah is looking for a skilled Machine Learning Engineer to design and deploy ML models. The successful candidate will work closely with data scientists and engineers, analyzing data and optimizing models for real-time deployment. A strong background in Python and machine learning algorithms is required, along with experience in cloud platforms. Competitive compensation offered.
Qualifications
- Proven experience with deep learning and NLP.
- Experience with tools for MLOps practices.
Responsibilities
- Design and implement machine learning algorithms and models.
- Preprocess and analyze large datasets.
- Collaborate with cross-functional teams.
- Train and evaluate model performance.
- Optimize models for real-time deployment.
Skills
Education
Tools
We are looking for a skilled and innovative Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing and deploying machine learning models and data‑driven solutions that improve business outcomes. You will work closely with data scientists, software engineers and product teams to turn data into actionable intelligence.
- Design and implement machine learning algorithms and models for various applications.
- Preprocess, clean and analyze large datasets from diverse sources.
- Collaborate with cross‑functional teams to define project requirements and success metrics.
- Train, test and evaluate model performance using industry‑standard metrics.
- Optimize models for scalability and real‑time deployment.
- Deploy models into production using tools such as Docker, Kubernetes or cloud services (AWS, Azure, GCP).
- Monitor and maintain deployed models for accuracy and performance.
- Document code, models and processes for future reference.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics or a related field.
- Proven experience with Python and libraries such as TensorFlow, PyTorch, Scikit‑learn, etc.
- Strong understanding of machine learning algorithms, data structures and software engineering principles.
- Experience with SQL and NoSQL databases.
- Familiarity with cloud platforms and MLOps practices.
- Excellent problem‑solving and analytical skills.
- Strong communication and teamwork abilities.
- Ph.D. in a related field.
- Experience in deep learning, NLP, computer vision or recommendation systems.
- Experience with tools such as MLflow, Airflow or Kubeflow.
- Contributions to open‑source ML projects or published research papers.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.