Description

You will build and customize Generative AI applications to drive process mining, task mining summarization, and anomaly detection.

Responsibilities

  • Design and implement scalable data pipelines and ETL processes for structured and unstructured data.
  • Integrate data from Enterprise SORs and workflow tools to create process-level visibility.
  • Build and maintain data models, warehouses, and lakes for analysis and reporting.
  • Collaborate with analysts and business teams to develop dashboards and real-time metrics.
  • Customize GenAI applications using approved LLMs.

Required Skills

  • 5+ years of experience in Data Engineering, Analytics, or Machine Learning/NLP roles.
  • Proficiency in Python and SQL.
  • Hands-on experience with Generative AI and LLMs such as Llama, Google Gemini, or OpenAI.
  • Experience with vector databases like Pinecone or FAISS.
  • Proven experience building cloud-based data pipelines.
  • Experience with process mining tools such as Celonis or UiPath Process Mining.
  • Strong understanding of data transformation tools.

Education

Any Graduate