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Accenture

Advises businesses and runs their technology

AI / ML Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 7.5 years of experience is required.
  • At least 5 years of experience in natural language processing, artificial intelligence, or machine learning.
  • Proven production deployment of generative AI systems.
  • 15 years of full-time education.
  • Advanced Python skills.
  • Experience with natural language processing and generative AI, including large language models, retrieval-augmented generation, and prompt engineering.
  • Experience with Azure OpenAI or other large language model platforms.
  • Experience building asynchronous applications with FastAPI or Flask.
  • Experience with Azure Cloud services, including App Service, Storage, AI Search, and Cosmos DB.
  • Experience with continuous integration and continuous delivery, logging, and monitoring, including Jenkins and OpenTelemetry.
  • Experience with large language models, prompt engineering, vector databases, retrieval-augmented generation architecture, agentic libraries such as LangChain, LangGraph, or AutoGen, computer vision, and document processing.

Responsibilities

  • Develop applications and systems that use artificial intelligence tools and cloud AI services, with production-ready cloud or on-premises application pipelines.
  • Apply generative AI models as part of solutions, potentially including deep learning, neural networks, chatbots, and image processing.
  • Own natural language processing and generative AI solutions from design through production.
  • Build scalable, cloud-native large-language-model-powered applications on Azure.
  • Develop large-language-model-based chatbots, retrieval-augmented generation systems, and AI assistants.
  • Design data ingestion, preprocessing, and document update pipelines.
  • Implement prompt engineering, embeddings, vector search, and evaluation.
  • Build asynchronous REST APIs using FastAPI or Flask.
  • Handle rate limits, retries, load balancing, and fault tolerance for large language model APIs.
  • Deploy, monitor, and scale applications on Azure Cloud.
  • Deliver proofs of concept and minimum viable products under tight timelines.
  • Mentor junior colleagues and support team delivery.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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