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AI / ML Engineer

AI / ML Engineer

Accenture
5-7 Years
  • Posted 2 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 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 integrate artificial intelligence technologies. This role requires managing the deployment of solutions either on cloud platforms or on-premises environments, ensuring they meet production standards. The work often includes leveraging generative artificial intelligence models to enhance functionalities. The engineer may also engage in developing components related to deep learning, neural networks, conversational agents, and image analysis, collaborating closely with various teams to deliver robust and scalable 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.
  • Provide solutions to problems for their immediate team and across multiple teams.
  • Lead the integration of generative AI models into existing and new applications to improve system capabilities.
  • Facilitate knowledge sharing and mentoring within the team to foster continuous learning and development.
  • Coordinate cross-functional efforts to align AI initiatives with organizational goals and project timelines.

Professional & Technical Skills:

  • Must To Have Skills: Proficiency in Large Language Models (LLMs).
  • Experience with designing and implementing AI pipelines for both cloud and on-premises environments.
  • Strong understanding of generative artificial intelligence and its practical applications.
  • Familiarity with deep learning frameworks and neural network architectures.
  • Ability to develop and optimize chatbots and image processing solutions.
  • Skilled in deploying production-ready AI systems with a focus on scalability and reliability.

Additional Information:

  • The candidate should have minimum 5 years of experience in Large Language Models (LLMs).
  • This position is based at our PDC2C - SEZ location.
  • A 15 years full time education is required.




More Info

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Key Skills

Cloud computing platforms and services

Natural language processing techniques and tools

About Company

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