We are looking for a seasoned AI Engineer to design and implement a near real-time fraud detection module based on the model provided by our data scientist. The goal is to integrate detection technologies into production environments, ensuring scalability and performance.

What will your task look like?

- Evaluate and select appropriate AI systems and frameworks to meet the requirements of the fraud detection task.

- Develop and integrate AI models and algorithms into the existing platform to enable near real- time fraud detection.

- Design and build interfaces and APIs to ensure seamless integration and communication

between diMerent system components.

- Optimize the performance of the AI module to ensure high accuracy and eMiciency.

- Collaborate with data scientists, software engineers, and other stakeholders to ensure successful implementation and deployment.

- Document the development process, including design decisions, code, and testing procedures.

Areas of expertise needed

- Bachelor's (must) or Master's degree (preferred) in Computer Science, Artificial Intelligence, Engineering, or a related field.

- Minimum of 2 years of experience in AI engineering or a related field.

- Experience in developing and deploying AI systems.

- Proficiency in using AI frameworks.

- Strong programming skills in Python, Java, or similar languages.

- Experience with cloud platforms, particularly Azure AI, is a plus.

- Excellent problem-solving and analytical skills.

- Ability to work collaboratively in a team environment.