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AI / ML Engineer

AI / ML Engineer

Accenture
Early Applicant
  • Posted 11 hours ago
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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 and cloud-based AI services. The role requires integrating generative AI models into solutions, ensuring that applications are production-ready and scalable. Daily activities may include developing pipelines for both cloud and on-premises environments, working on diverse AI domains such as deep learning, neural networks, chatbots, and image processing. Collaboration with various teams to align technical implementations with project goals is also a key part of the day, fostering innovation and efficiency in AI-driven solutions.

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 solutions ensuring alignment with organizational objectives.
  • Mentor junior team members to enhance their technical skills and project contributions.
  • 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 in real-world solutions.
  • Familiarity with deep learning frameworks and neural network architectures.
  • Ability to design and implement production-quality AI pipelines that ensure scalability and reliability.
  • Experience with chatbot development and image processing techniques.

Additional Information:

  • The candidate should have minimum 12 years of experience in Large Language Models (LLMs).
  • This position is based at our Mumbai 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

Image processing techniques

Cloud AI services

Generative AI models

Chatbot development

About Company

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