AI / ML Engineer
Accenture
2 - 5 years
Hyderabad
Posted: 09/11/2025
Job Description
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
Good to have skills : Microsoft Azure Machine Learning
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary Lead ML Engineer 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. Roles and 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. Technical experience & Professional attributes: • Model generalization vs. overfitting/underfitting; bias/variance trade-offs; regularization and early stopping. • Deep learning fundamentals: CNNs, RNNs/LSTMs/GRUs, and modern transformers; encoder/decoder architectures and attention. • LLM inner-workings at a practical level: tokenization, context windows, inference strategies (batching, caching, quantization), fine-tuning/PEFT, and RAG. • Inference and serving techniques for throughput/cost (vectorization, mixed precision, compile/acceleration paths where applicable). Tooling Familiarity • PyTorch; Hugging Face ecosystem (transformers, datasets, sentence-transformers/SBERT); BERT/Llama families as applicable. • LangChain for orchestration; familiarity with LangGraph/LangMem for agentic workflows (subject to approval). • spaCy, scikit-learn; LightGBM/Flair where relevant; Optuna for HPO; SHAP for model explainability. • Search: Elastic/OpenSearch; vector stores (FAISS/Pinecone/pgvector); docarray for embedding flows. • Document & web data: Playwright/Selenium, Trafilatura, pypdf, pdfplumber, pdfkit; tokenization tools like tiktoken. • Stakeholder demos: Streamlit (local-only). Education qualifications: • Proven record architecting and shipping production ML/LLM systems. • Strong written and verbal communication; experience leading Agile delivery and cross-functional collaboration. • 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
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
About Company
Accenture is a global professional services company specializing in consulting, technology, and outsourcing services. Headquartered in Dublin, Ireland, Accenture provides a wide range of services in strategy, digital, technology, operations, and consulting. It helps organizations improve their performance and create sustainable value by leveraging technology and industry expertise. Accenture works across various sectors, including financial services, healthcare, telecommunications, energy, and more. Known for its deep focus on innovation, Accenture partners with leading technology companies to drive digital transformation and help clients navigate complex challenges in an increasingly digital world.
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