AI System Architect

23 hours ago

Singapore beBeeAIENGINEER Full time $100,000 - $150,000

Artificial Intelligence Engineering Opportunity

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This is a key role in the organization that focuses on developing and implementing artificial intelligence (AI) solutions. As an AI Engineer, you will be responsible for designing, developing, and deploying AI-powered applications, integrating machine learning models into scalable systems, and architecting robust end-to-end solutions.

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The successful candidate will work closely with data scientists, software engineers, and product teams to align AI solutions with business objectives. This includes providing technical leadership and mentorship to junior team members, collaborating with stakeholders to identify opportunities and requirements for AI-driven solutions, and ensuring system designs adhere to best practices for security, compliance, and reliability.

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Responsibilities:

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  1. ">
  2. AI/ML Development:">
  3. Design, develop, and deploy generative AI and machine learning models for diverse use cases.">
  4. Perform data preprocessing, feature engineering, and model optimization.">
  5. Implement and fine-tune AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.">
  6. Develop APIs to expose AI models for seamless integration into applications.">
  7. Stay updated on advancements in generative AI research and tools to maintain cutting-edge implementations.">
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Deployment and Operations:

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  1. ">
  2. Deploy AI models and applications using modern DevOps and MLOps practices.">
  3. Containerize applications using Docker and orchestrate deployments with Kubernetes.">
  4. Set up CI/CD pipelines for seamless code and model delivery.">
  5. Monitor application performance and ensure high availability in production environments.">
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System Design and Architecting:

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  1. ">
  2. Architect scalable, modular, and efficient application systems that integrate AI/ML models.">
  3. Design end-to-end pipelines for data ingestion, processing, model serving, and monitoring.">
  4. Ensure system designs adhere to best practices for security, compliance, and reliability.">
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Qualifications:

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  1. ">
  2. Bachelor's or master's degree in computer science, Engineering, or a related field.">
  3. 5+ years of developing end-to-end AI/ML applications.">
  4. Strong programming skills in at least one of the following languages: Python, Scala, JavaScript.">
  5. Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, OpenAI).">
  6. Expertise in system design and application architecture.">
  7. Familiarity with databases (SQL/NoSQL) and data pipelines.">
  8. Experience with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).">
  9. Solid understanding of DevOps/MLOps practices.">
  10. Experience deploying and managing AI solutions in production environments is preferred.">
  11. Hands-on experience with fine-tuning generative AI models for specific business applications is preferred.">
  12. Knowledge of microservices architecture and serverless computing is preferred.">
  13. Proficiency in front-end frameworks (e.g., React, Angular) and back-end development is preferred.">
  14. Familiarity with monitoring tools (e.g., Prometheus, Grafana) and logging frameworks is preferred.">
"]},

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