AI Systems Engineer

1 week ago


Singapore beBeeArtificialIntelligence Full time $80,000 - $120,000

Job Title: Senior Artificial Intelligence Developer

About the Role:

This is an exciting opportunity for a highly skilled AI software engineer to join our team. The successful candidate will be responsible for designing, building, and deploying scalable AI models and systems.

Main Responsibilities:

  • Design and develop AI software solutions using machine learning frameworks such as TensorFlow and PyTorch.
  • Deploy and manage scalable AI systems on cloud platforms like Azure.
  • Work with data engineering tools to build and maintain large-scale data pipelines.
  • Optimize AI models for performance and scalability.

Requirements:

To be successful in this role, you will need to have a strong background in software engineering and AI/ML. The following skills and qualifications are required:

  • Bachelor's or Master's degree in Software Engineering or AI.
  • 5+ years of experience in AI software development.
  • Proficient in languages such as Python, Java, and C++.
  • Expertise in machine learning frameworks such as TensorFlow and PyTorch.
  • Experience with cloud platforms such as Azure and AWS.
  • Strong understanding of software engineering principles.
  • Familiarity with big data tools such as Hadoop and Spark.

Benefits:

This role offers the opportunity to work on cutting-edge AI projects and contribute to the development of innovative solutions. You will have access to advanced training and development opportunities and work in a collaborative and dynamic environment.

Azure AI Search experience is also beneficial for this position.

Others:

You will have the opportunity to work with modern technologies, including Fast API, Azure UI Search API (React), Gitlab Pipeline, Ansible and REX: Rex Deployment, Data Science: Prompt Engineering + Modern Testing, Data pipeline development, Understanding of AI/ML algorithms and their applications, MLOps frameworks, Knowledge of cloud platforms (Azure ML especially), Model deployment process, Data pipeline monitoring, Languages/Framework: Azure Open AI, Data Science: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search, Databases and ETL: Azure Storage

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