Custom Software Engineer (Bengaluru)

Custom Software Engineer (Bengaluru)

19 Oct
|
Accenture in India
|
Bengaluru

19 Oct

Accenture in India

Bengaluru

Project Role : Custom Software Engineer

Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use up-to-date frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.

Must have skills : Machine Learning (ML)

Good to have skills : NA

Minimum 7.5 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Role Summary

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.

Establish evaluation strategy: offline/online experiments, quality/latency/cost KPIs integrate DeepEval for unit-style LLM tests.

Guide data governance, privacy/PII handling, and secure model/agent operations with MLOps partners.

Mentor the team, run design reviews, and produce clear design docs, RFCs, and POVs for stakeholders.

Concepts & Technical Awareness (Expected)

Model generalization vs. overfitting/underfitting bias/variance trade-offs r

📌 Custom Software Engineer (Bengaluru)
🏢 Accenture in India
📍 Bengaluru

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