Description

Design and implement scalable data pipelines and GenAI applications for process mining and anomaly detection.

This role is on-site.

Responsibilities

• Build and maintain scalable data pipelines and ETL processes for structured and unstructured sources.
• Integrate data from Enterprise SORs and workflow tools to ensure process-level visibility.
• Customize GenAI applications using approved LLMs for task summarization and anomaly detection.
• Develop data models, warehouses, and lakes to support analysis and reporting.
• Collaborate with business teams to create dashboards and real-time metrics.

Required Skills

• 5+ years of experience in Data Engineering, Analytics, or Machine Learning/NLP.
• Strong proficiency in SQL and Python for data transformation.
• Hands-on experience with Generative AI, LLMs (Llama, Google Gemini, OpenAI), or vector databases.
• Proven track record with cloud-based data pipelines.
• Experience with process mining tools such as Celonis or UiPath Process Mining.
• Ability to design and maintain data lakes and warehouses.

Preferred Skills

• Experience integrating data from various workflow tools for visibility.

Key Skills

Education

Any Graduate