About this AI / ML Engineer role at Accenture
Accenture · Onsite · Hyderabad
Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Machine Learning (ML)
Good to have skills : Microsoft Azure Machine Learning, DevOps, Python (Programming Language)
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary
ML Engineer : Build features across Agentic, LLM and ML workflows including suggestion/rules components, search & retrieval, document extraction, and basic image/OCR processing. Translate problem statements into production-ready code, write clear documentation, and partner closely with MLOps for reliable releases. Should be aware of Model Drift & Data Drift practices.
Roles and responsibilities:
Write queries and extract data from structured/unstructured sources implement parsing and normalization pipelines.
Develop web/document extraction (Playwright/Selenium, Trafilatura pypdf/pdfplumber/ocrmypdf) and convert to validated schemas.
Implement prompts, tools/functions, and agent steps using LangChain contribute to retrieval (BM25 + embeddings) and RAG modules.
Add basic image processing with OpenCV and OCR using pytesseract where needed.
Write clean, tested Python add unit-style LLM tests with DeepEval maintain experiment logs and evaluation datasets.
Collaborate in Agile ceremonies produce concise design notes and experiment reports.
Technical experience & Professional attributes:
Python with hands-on PyTorch familiarity with deep-learning packages and the Hugging Face stack (transformers, datasets, SBERT).
Web automation/scraping using Selenium or Playwright robust HTML/text processing.
Search basics and RAG patterns vector stores and embeddings at a practical level.
Image processing fundamentals (OpenCV) and OCR integration (pytesseract).
Evaluation mindset: DeepEval for LLM outputs Optuna/SHAP exposure is a plus.
Preferred Skills
spaCy, scikit-learn LightGBM/Flair where relevant.
Experience with schema validation (pydantic/JSON Schema) and tokenization (tiktoken).
Streamlit for internal demos (local-only).
Education qualifications:
Experience shipping ML/LLM features or strong applied projects demonstrating end-to-end ownership.
Clear written/spoken communication and collaborative ways of working.
You will be working with a Trusted Tax Technology Leader, committed to delivering reliable and innovative solutions15 years full time education
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Machine Learning (ML)
Good to have skills : Microsoft Azure Machine Learning, DevOps, Python (Programming Language)
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary
ML Engineer : Build features across Agentic, LLM and ML workflows including suggestion/rules components, search & retrieval, document extraction, and basic image/OCR processing. Translate problem statements into production-ready code, write clear documentation, and partner closely with MLOps for reliable releases. Should be aware of Model Drift & Data Drift practices.
Roles and responsibilities:
Write queries and extract data from structured/unstructured sources implement parsing and normalization pipelines.
Develop web/document extraction (Playwright/Selenium, Trafilatura pypdf/pdfplumber/ocrmypdf) and convert to validated schemas.
Implement prompts, tools/functions, and agent steps using LangChain contribute to retrieval (BM25 + embeddings) and RAG modules.
Add basic image processing with OpenCV and OCR using pytesseract where needed.
Write clean, tested Python add unit-style LLM tests with DeepEval maintain experiment logs and evaluation datasets.
Collaborate in Agile ceremonies produce concise design notes and experiment reports.
Technical experience & Professional attributes:
Python with hands-on PyTorch familiarity with deep-learning packages and the Hugging Face stack (transformers, datasets, SBERT).
Web automation/scraping using Selenium or Playwright robust HTML/text processing.
Search basics and RAG patterns vector stores and embeddings at a practical level.
Image processing fundamentals (OpenCV) and OCR integration (pytesseract).
Evaluation mindset: DeepEval for LLM outputs Optuna/SHAP exposure is a plus.
Preferred Skills
spaCy, scikit-learn LightGBM/Flair where relevant.
Experience with schema validation (pydantic/JSON Schema) and tokenization (tiktoken).
Streamlit for internal demos (local-only).
Education qualifications:
Experience shipping ML/LLM features or strong applied projects demonstrating end-to-end ownership.
Clear written/spoken communication and collaborative ways of working.
You will be working with a Trusted Tax Technology Leader, committed to delivering reliable and innovative solutions15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
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