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
نوع الوظيفة: دوام كامل