Description

You will bridge the gap between business domains and technical execution by leveraging AI to automate processes and drive decision-making.

Responsibilities

  • Analyze complex business problems to identify opportunities for automation or re-engineering using AI and machine learning.
  • Translate business needs into technical requirements, documenting them through BRDs and FRDs for data analytics projects.
  • Lead cross-functional efforts and manage medium to large projects from inception through postmortem.
  • Execute unit, integration, and acceptance testing to support corporate initiatives.
  • Troubleshoot business systems issues involving ERP, PLM, and CAD, while acting as a liaison with external vendors.
  • Collaborate with Data Scientists and Engineers to implement generative AI and RAG pattern solutions.

Required Skills

  • 15+ years of IT industry experience with a focus on data analytics and data aggregation.
  • 5+ years of experience collecting requirements specifically for AI/ML use cases.
  • Hands-on experience with Generative AI and RAG patterns.
  • Proficiency in SQL and database management systems.
  • Strong knowledge of machine learning techniques and algorithms.
  • Experience with ERP, PLM, and semiconductor industry IT infrastructure.
  • Familiarity with Agile methodologies and tools including Jira and Confluence.
  • Knowledge of data governance and data quality best practices.
  • Understanding of supply chain processes, including procurement, inventory, and logistics.

Preferred Skills

  • Proficiency in Microsoft Azure, APIs, or similar cloud ecosystems.
  • Experience with data visualization tools such as Power BI.

Education

Any Gradute