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AI / ML Engineer

AI / ML Engineer

Accenture
7-9 Years
Not Disclosed
Early Applicant
  • Posted 10 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 Engineering

Good to have skills : NA

Minimum 7.5 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 the development pipeline to ensure solutions are production-ready, integrating generative AI models, and working on diverse AI domains such as deep learning, neural networks, chatbots, and image processing. This position demands continuous collaboration with various teams to deliver innovative and scalable AI-driven solutions that meet organizational goals and client needs.

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.
  • Provide solutions to problems for their immediate team and across multiple teams.
  • Lead the design and implementation of AI and machine learning solutions ensuring alignment with project objectives.
  • Mentor junior team members to foster skill development and knowledge sharing.
  • Coordinate cross-functional efforts to optimize AI workflows and improve system performance.

Professional & Technical Skills:

  • Must To Have Skills: Proficiency in Data Engineering.
  • Experience with data pipeline development and management in cloud and on-premise environments.
  • Strong knowledge of AI model integration and deployment techniques.
  • Familiarity with generative AI models and their application within production systems.
  • Ability to work with large-scale data processing frameworks and tools.
  • Understanding of neural networks, deep learning architectures, and AI-driven image processing.

Additional Information:

  • The candidate should have minimum 7.5 years of experience in Data Engineering.
  • This position is based at our Gurugram office.
  • A 15 years full time education is required.




More Info

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Industry:
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Key Skills

large-scale data processing frameworks and tools

data pipeline development and management in cloud and on-premise environments

AI-driven image processing

generative AI models

deep learning architectures

AI model integration and deployment techniques

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