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AI / ML Engineer

AI / ML Engineer

Accenture
2-4 Years
Not Disclosed
Early Applicant
  • Posted 7 hours ago
  • Be among the first 10 applicants

Job Description

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 : Data Science

Good to have skills : NA

Minimum 2 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. The role requires managing end-to-end application pipelines, whether deployed on cloud platforms or on-premises, ensuring solutions are production-ready and scalable. The engineer integrates generative AI models into various projects, which may include deep learning architectures, neural networks, conversational agents, and image processing techniques. Collaboration with cross-functional teams to align technical solutions with project goals is a key aspect of daily activities, alongside continuous evaluation and enhancement of AI-driven functionalities.

Roles & Responsibilities:

  • Expected to perform independently and become an SME.
  • Required active participation/contribution in team discussions.
  • Contribute in providing solutions to work related problems.
  • Collaborate with stakeholders to understand requirements and translate them into technical solutions.
  • Maintain and optimize AI models and pipelines to ensure high performance and reliability.
  • Document processes and share knowledge to support team growth and project continuity.
  • Assist junior team members by providing guidance and support in technical challenges.

Professional & Technical Skills:

  • Must To Have Skills: Proficiency in Data Science.
  • Experience in designing and implementing AI applications using cloud AI services and on-premises infrastructure.
  • Strong understanding of generative AI models and their practical applications.
  • Familiarity with deep learning frameworks and neural network architectures.
  • Ability to develop and deploy production-quality AI pipelines.
  • Knowledge of image processing and chatbot development techniques.

Additional Information:

  • The candidate should have minimum 3 years of experience in Data Science.
  • This position is based at our Bengaluru office.
  • A 15 years full time education is required.




More Info

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Key Skills

deep learning frameworks

chatbot development

production-quality AI pipelines

generative AI models

AI applications

neural network architectures

cloud AI services

on-premises infrastructure

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