Industrial Asset Management Solutions Architect

3 days ago

Perth, Western Australia beBeeData Full time $80,000 - $120,000
AI and Data Analytics Solutions Developer

The role of the AI and Data Analytics Solutions Developer is to design, develop, and deploy industrial asset management solutions utilizing cutting-edge technologies such as artificial intelligence and data analytics. As a key member of our multidisciplinary team, you will collaborate with engineers, data scientists, and domain specialists to define and implement technical solutions that drive business outcomes. Your primary responsibility will be to develop clean, efficient, and well-documented Python code for industrial AI and data analytics solutions. You will build and maintain data processing pipelines and APIs, integrating data from operational, IoT, and enterprise systems.

Key Responsibilities
  • Developing and deploying AI-driven industrial asset management solutions.
  • Building and maintaining data processing pipelines and APIs, integrating data from operational, IoT, and enterprise systems.
  • Supporting AI/ML model development, testing, and deployment into live operational environments.
  • Participating in rapid prototyping projects and iterative solution design within client sites.
  • Collaborating with engineers, data scientists, and domain specialists to define and implement technical solutions.
  • Preparing documentation, technical reports, and deployment guides.
Requirements
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field.
  • Proficiency in Python programming is essential.
  • Analytical mindset and problem-solving ability are necessary.
  • Understanding of data pipelines, APIs, and database integration is required.
  • Interest in AI/ML concepts and practical industrial applications is beneficial.
  • Ability to communicate technical concepts clearly to non-technical stakeholders is important.
What We Offer
  • Opportunity to work on cutting-edge AI and data analytics projects.
  • Collaborative and dynamic work environment.
  • Professional development opportunities.

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