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AI Systems Developer

3 weeks ago


Singapore beBeeMachineLearning Full time $120,000 - $175,000
Artificial Intelligence Engineer Role

We are seeking a highly skilled Artificial Intelligence Engineer to join our team. As an AI Engineer, you will be responsible for designing and implementing AI pipelines and infrastructure.

In this role, you will work closely with data scientists, architects, and DevOps teams to develop and maintain automation scripts using Linux shell scripting, Python, or similar tools.

You will also be responsible for ensuring smooth deployment and integration between cloud and on-premises environments (AWS), integrating AI models into production using container platforms like OpenShift, and implementing and maintaining network security protocols to protect AI systems and data pipelines.

A successful candidate will have experience in AI system integration, knowledge of cloud platforms (e.g., AWS), and exposure to data and network security and compliance in AI systems.

The ideal candidate will have a strong understanding of API integration and microservices architecture, proficiency in Python for automation and ML tasks, and experience with Logging and Monitoring tools like Splunk and Geneos.

This is a challenging role that requires expertise in several areas, including Generative AI and Agentic AI concepts.

Requirements:
  • Bachelor's degree in computer science, engineering, or a related field.
  • 6-10 years of experience in AI engineering or AI system integration.
  • Hands-on experience with OpenShift, Docker, Kubernetes.
  • Knowledge of cloud platforms (e.g., AWS) is required.
  • Exposure to data and network security and compliance in AI systems.
  • Knowledge of API integration and microservices architecture.
  • Proficiency in Python for automation and ML tasks.
  • Experience with Logging and Monitoring tools like Splunk and Geneos.
  • Understanding of Generative AI (e.g., prompt engineering, RAG pipelines) and Agentic AI concepts.
  • Must have banking domain experience.
Responsibilities:
  1. Design and implement AI pipelines and infrastructure.
  2. Develop and maintain automation scripts using Linux shell scripting, Python, or similar tools.
  3. Ensure smooth deployment and integration between cloud and on-premises environments (AWS).
  4. Integrate AI models into production using container platforms like OpenShift.
  5. Implement and maintain network security protocols to protect AI systems and data pipelines.
  6. Collaborate with data scientists, architects, and DevOps teams.
  7. Work with cross-functional teams to translate AI workflows into engineering solutions.
  8. Monitor and improve system performance, reliability, and scalability.
  9. Support CI/CD processes and infrastructure for AI model deployment and updates.
About the Team:

We are a dynamic team of experts in AI and machine learning. We are passionate about developing innovative solutions to complex problems.

We are committed to delivering high-quality results and fostering a collaborative environment.

We value creativity, innovation, and teamwork.

We offer competitive salaries, comprehensive benefits, and opportunities for growth and development.