Open Positions
Full Stack Developer (MERN)
Location:
Dubai AI Campus, DIFC, Dubai
Job Description:
We are seeking a talented and experienced MERN Full Stack Developer with proficiency in Python and, preferably, Kotlin. The ideal candidate will have a strong background in developing scalable web applications, a deep understanding of the MERN stack, and the ability to integrate Python-based solutions. Experience with Kotlin is a plus.
Responsibilities:
- Design, develop, and maintain web applications using the MERN stack (MongoDB, Express.js, React, Node.js).
- Integrate Python scripts and modules to enhance application functionality.
- Collaborate with cross-functional teams to define, design, and ship new features.
- Write clean, maintainable, and efficient code.
- Ensure the performance, quality, and responsiveness of applications.
- Troubleshoot and debug applications.
- Participate in code reviews and provide constructive feedback.
- Stay updated with emerging technologies and industry trends.
Requirements:
- Proven experience as a Full Stack Developer with the MERN stack.
- Proficiency in Python and experience integrating it with web applications.
- Knowledge of Kotlin is highly desirable.
- Strong understanding of front-end technologies, including HTML5, CSS3, and JavaScript.
- Experience with RESTful APIs and web services.
- Familiarity with version control systems (e.g., Git).
- Excellent problem-solving skills and attention to detail.
- Strong communication and teamwork skills.
- Ability to work independently and manage time effectively.
Preferred Qualifications:
- Experience with AWS cloud platform.
- Knowledge of CI/CD pipelines and DevOps practices.
- Familiarity with containerization technologies (e.g., Docker, Kubernetes).
- Understanding of agile methodologies.
How to Apply:
Email your resume (in PDF format only) to [email protected]
Data Engineer
Location:
Dubai AI Campus, DIFC, Dubai
Job Description:
We are seeking a skilled Data Engineer with 3-5 years of experience to join our team. The ideal candidate will have a strong background in data engineering and a passion for AI. This role requires a deep understanding of machine learning tools and the ability to design and create data lakes and lakehouses to support our AI product development efforts.
Key Responsibilities:
- Design, build, and maintain scalable data pipelines to support AI product development.
- Develop and manage data lakes and lakehouses, ensuring efficient data storage, retrieval, and processing.
- Collaborate with data scientists and AI engineers to understand data requirements and implement data solutions.
- Optimize data architectures for performance and cost-efficiency.
- Implement and maintain ETL (Extract, Transform, Load) processes.
- Ensure data quality and integrity through rigorous testing and validation.
- Stay up-to-date with industry trends and best practices in data engineering and AI.
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 3-5 years of experience in data engineering.
- Proven experience with designing and implementing data lakes and lakehouses.
- Strong working knowledge of machine learning tools and frameworks.
- Proficiency in SQL and experience with NoSQL databases.
- Experience with AWS cloud platform.
- Familiarity with big data technologies like Hadoop, Spark, or Kafka.
- Solid programming skills in languages such as Python, Java, or Scala.
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork skills.
Preferred Qualifications:
- Exposure to AI models and experience working in AI product development environments.
- Knowledge of data governance and security best practices.
- Experience with data visualization tools and techniques.
How to Apply:
Email your resume (in PDF format only) to [email protected]
