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.