Machine Learning (ML)
Accenture · Posted Nov 12, 2026
- Bengaluru, Karnataka, India
- On-site
- Full-time · Senior
- 7–15 years
Lead the design and delivery of AI solutions across Agentic AI, Generative AI (LLMs) and classical ML/CV. Own the technical direction for suggestion & rules frameworks, search/retrieval, document and web data extraction, and image/OCR pipelines for the Value Stream. Provide architectural leadership, mentor engineers, and ensure production-grade quality, safety, and reliability. Should be familiar with evaluation strategies, responsible AI, explainability.
Responsibilities
- Define end-to-end architecture for LLM/agent systems (tool use, orchestration, guardrails) and classical ML components.
- Design suggestion engines and policy/rule layers that combine deterministic constraints with generative outputs.
- Architect search & retrieval (BM25 + embeddings) and RAG pipelines drive relevance tuning and evaluation.
- Oversee robust scraping & extraction (Playwright/Selenium/Trafilatura) and structured normalization (JSON/Parquet, schema validation).
- Direct image processing and OCR workflows (OpenCV, pytesseract/ocrmypdf) for document understanding.
Requirements
- 15 years full time education
- Nice to have: LangGraph
- Nice to have: LangMem
- Nice to have: LightGBM
- Nice to have: Flair