AI Engineering Leads Data Pipelines

Responsible for development of AI solutions/agents to assist in the design, building and monitoring and support of data pipelines in the cloud.

Should be able to conceive use cases for infusing Gen-AI into the data pipeline development and monitoring process. Having identified the use case, they would design the solution, develop and deploy it. This will involve a combination of hands on development and guiding jr team members on implementation.

Key Responsibilities
Define system architecture for multimodal document processing, OCR, LMMs, and data pipelines.
Design modular, pluggable OCR evaluation platform (Tesseract, Textract, DocAI, GPT-Vision, LayoutLM, Donut, etc.).
Architect preprocessing (OpenCV), post-processing, normalization, and document understanding layers.
Lead design of routing engines, ensemble logic, and feedback fine-tuning loops.
Oversee data lake, vector index, and metadata storage design.
Guide cloud infrastructure (AWS/Azure/GCP) for scalable processing of millions of documents.
Partner with leadership on roadmap, cost optimization, and vendor evaluations.

📌 Engineering Lead Bengaluru
🏢 Tata Consultancy Services
📍 Bengaluru