AI and Automation Innovator

6 days ago

Sydney, New South Wales, Australia beBeeAutomation Full time $150,000 - $180,000

AI and Automation Innovator

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We're seeking an experienced professional to lead the development and implementation of AI and automation methodologies across our organization.

\Key Responsibilities\
  • \
  • Drive the creation of scalable tool stacks and oversee the end-to-end implementation of AI projects.\
  • Identify opportunities for AI and automation to enhance efficiency and effectiveness across various business activities.\
  • Skillfully convert complex business challenges into clear, actionable solutions leveraging AI models and automation layers.\
  • Collaborate with cross-functional teams to ensure seamless integration and understanding of AI products and solutions.\
  • Develop repeatable playbooks and best practices to enable the efficient scaling of AI and automation efforts.\
  • Stay up-to-date with emerging AI trends and discern what truly matters for our business.\
  • Lead the AI roadmap, build scalable tool stacks, and oversee the end-to-end implementation of AI projects.\
  • Hands-on experience building and deploying AI workflows or micro-products, whether in a startup or larger organizational setting.\
  • Experience applying software engineering principles to data/AI engineering and analytics workflows.\
  • Experience with version control and CI/CD pipelines, specifically GitHub.\
  • Practical hands-on experience with data science tools including Spark, Python, R, TensorFlow, PyTorch, and SQL.\
  • Familiarity with Docker for containerization and application deployment.\
  • Strong understanding of ETL processes and data pipeline construction, including Cloud Composer and Airflow DAGs.\
  • A comprehensive understanding of the AI landscape, including LLMs, agents, APIs, vector databases, automation tools, and no-code solutions.\
  • A grounded understanding of AWS or Google Cloud architecture and integration, demonstrating experience in deploying and managing cloud-based solutions.\
  • Comprehensive understanding of software engineering principles and their application to data/AI engineering and analytics workflows.\
  • Practical experience with Agile project management methodologies.\
  • Proven track record of driving business outcomes through the effective use of AI and automation.\

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