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AI / ML Engineer

AI / ML Engineer

Accenture
12-14 Years
Not Disclosed
  • Posted 3 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 : Large Language Models (LLMs)

Good to have skills : NA

Minimum 12 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. This role requires integrating cloud-based or on-premises pipelines to ensure solutions are production-ready and scalable. The engineer works on implementing generative AI models and may engage in diverse areas such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with various teams to align technical solutions with project goals and maintaining high-quality standards throughout the development lifecycle are key aspects of the daily routine.

Roles & Responsibilities:

  • Expected to be an SME, collaborate and manage the team to perform.
  • Responsible for team decisions.
  • Engage with multiple teams and contribute on key decisions.
  • Expected to provide solutions to problems that apply across multiple teams.
  • Lead the design and implementation of AI-driven solutions ensuring alignment with organizational objectives.
  • Mentor junior team members to foster skill development and knowledge sharing.
  • Coordinate cross-functional efforts to optimize AI model deployment and maintenance.

Professional & Technical Skills:

  • Must To Have Skills: Proficiency in Large Language Models (LLMs).
  • Experience in developing and deploying 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 design scalable AI pipelines that meet production quality standards.
  • Competence in integrating AI solutions with various data processing and application environments.

Additional Information:

  • The candidate should have minimum 12 years of experience in Large Language Models (LLMs).
  • This position is based at our Indore office.
  • A 15 years full time education is required.




More Info

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Key Skills

Neural network architectures

On-premises infrastructure

Deep learning frameworks

Scalable AI pipelines

Cloud AI services

Generative AI models

Large Language Models (LLMs)

About Company

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