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Accenture

Advises businesses and runs their technology

AI / ML Engineer

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • A minimum of 3 years of experience is required; the additional information specifies a minimum of 5 years of experience in Generative AI.
  • Proficiency in Generative AI, Azure OpenAI Service, Large Language Models (LLMs), and Prompt Engineering.
  • Strong experience designing and implementing AI pipelines for cloud and on-premises environments.
  • In-depth understanding of generative model architectures and their practical applications.
  • Ability to develop and fine-tune deep learning models, including neural networks and transformer-based systems.
  • Experience with AI-driven conversational agents such as chatbots and natural language processing tools.
  • Familiarity with image processing techniques and their integration into AI solutions.
  • Knowledge of Agentic AI design, multi-agent orchestration, and RAG architecture.
  • Insurance domain knowledge, including underwriting, claims, and policy.
  • 15 years of full-time education is required.

Responsibilities

  • Develop applications and systems using AI tools and cloud AI services, with production-ready quality across cloud or on-premises application pipelines.
  • Apply generative AI models as part of solutions, including deep learning, neural networks, chatbots, and image processing.
  • Design and build advanced applications and systems that leverage AI technologies and cloud-based AI services, integrating generative AI models into scalable solutions that meet production standards and operate efficiently in cloud or on-premises environments.
  • Collaborate with cross-functional teams to enhance system capabilities, troubleshoot complex issues, and continuously improve AI-driven product performance and reliability.
  • Explore approaches such as deep learning, neural networks, chatbots, and image processing to deliver solutions.
  • Collaborate with and manage the team, and make team decisions.
  • Engage with multiple teams and contribute to key decisions.
  • Provide solutions to problems for the immediate team and across multiple teams.
  • Lead the development and deployment of AI models, aligning them with project goals and timelines.
  • Facilitate knowledge sharing and mentoring within the team.
  • Coordinate with stakeholders to gather requirements and translate them into technical specifications.
  • Monitor and optimize AI system performance to maintain quality and efficiency.

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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