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.