Job Description
We are looking for an AI Engineer for an AI company based in Dubai.
Location – Dubai, UAE (Hybrid Work Model)
Salary – 20,000 – 30,000 AED per person depending on experience
Qualifications:
- High expertise in programming languages such as Python and SQL.
- Hands-on experience working/deploying/executing AI and machine learning models and experience in integrating them into production environments.
- Hands-on experience working with OpenAI framework, building agents and RAGs.
- Hands-on experience with writing data crawling solutions.
- Experience with Computer Vision frameworks for image description.
- Familiarity with cloud platforms (AWS, GCP, or Azure)
- Familiar with ETL frameworks and tools for seamless data integration and transformation, including experience with platforms like dbt, Matillion and open-source alternatives.
- Strong problem-solving skills and ability to work in a fast-paced environment.
Key responsibilities:
Data Engineering & Data Science Integration:
- Use advanced statistical and machine learning methods to analyze large datasets and derive actionable insights, build predictive models and algorithms to address business challenges and support decision-making.
- Collaborate with domain experts to identify trends, patterns, and optimization opportunities.
- Develop clear and effective data visualizations and reports for stakeholders.
- Develop data models that align with business needs for efficient analytics and reporting.
- Monitor and enhance the performance of data systems, ensuring fast query execution and optimal resource use.
- Integrate data from various sources into centralized systems for seamless accessibility in analytics and data science workflows
Data Engineering:
- Manage data storage solutions, including relational and NoSQL databases (e.g., SQL server, MongoDB, ElasticSearch, etc.).
- Build and optimize ETL workflows using tools like Apache Airflow, Spark, or dbt.
- Ensure data integrity, governance, and security best practices.
Data Science & AI:
- Implement NLP solutions, text analytics, and AI-powered automation tools.
- Develop machine learning models for predictive analytics, recommendation systems, and anomaly detection.
- Build autonomous AI agents to automate tasks in data analysis, marketing and operations.
- Implement LLMs, reinforcement learning, RAGs and prompt engineering to improve agent intelligence.
- Optimize Business Workflows connecting AI agents them with APIs and databases.
- Continuously explore new AI frameworks and multi-agent collaboration strategies.
- Develop AI models that learn, adapt, and enhance productivity over time.
- Optimize model performance using feature engineering, hyperparameter tuning, and A/B testing.
- Work closely with engineering teams to deploy AI/ML models in production.
Looking for a new job? Pink Camel Jobsite is launching soon - register now to be notified of our launch - www.pinkcameljobsite.com