Job Description

Resposibilities

:

Design, build, and optimize machine learning models and AI workflows to support business objectives. Develop efficient, clean, and scalable Python code for data processing, model training, and deployment. Build and maintain automation systems, data pipelines, and AI-driven tools. Analyze datasets, generate insights, and improve model performance using advanced ML techniques. Collaborate with cross-functional teams to understand requirements and deliver smart, automated solutions. Monitor model accuracy, troubleshoot issues, and continuously fine-tune performance. Document all workflows, models, and processes in a clear technical format. Stay updated with the latest AI trends, frameworks, and technologies to ensure continuous innovation.

Requerments

:

Strong proficiency in

Python

and experience with AI/ML libraries (TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas). Hands-on experience in machine learning model development, testing, deployment, and performance evaluation. Good understanding of LLMs, natural language processing, automation tools, and AI integrations (optional but preferred). Experience with APIs, data scraping, and integrating ML models into live environments. Ability to work independently during evening shifts with minimal supervision. Excellent problem-solving, debugging, and analytical thinking skills. Strong communication skills and ability to translate technical concepts to non-technical teams. Previous experience in AI, software engineering, or data science roles is an advantage.

Benefits :

Competitive salary package based on experience and skill level. Professional and stable work environment in Dubai. Opportunity to work on advanced AI solutions and real-world machine learning applications. Career growth and continuous skill development through exposure to challenging technical projects. Supportive team environment with access to modern tools, technologies, and resources. Evening-shift arrangement offering flexibility and reduced daytime workload.
To apply, please submit your CV to the following email :

mub.tarq@gmail.com

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