AI / ML Engineer

• 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 / Machine Learning Engineer, a typical day involves designing and building advanced applications and systems that integrate artificial intelligence technologies. This role requires working with cloud-based or on-premises environments to ensure solutions are production-ready and scalable. The engineer actively applies generative artificial intelligence models to enhance system capabilities and may engage in developing components such as deep learning architectures, neural networks, conversational agents, and image processing modules. Collaboration with various teams to align technical implementations with project goals is a key aspect of daily activities, ensuring seamless integration and optimal performance of 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 development and deployment of AI models ensuring alignment with project objectives and quality standards.
  - Mentor junior team members to foster skill development and knowledge sharing.
  - Coordinate cross-functional efforts to integrate AI components effectively within broader system architectures
• Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models (LLMs).
  - Experience in designing and implementing AI applications using cloud AI services and on-premises pipelines.
  - Strong understanding of generative artificial intelligence models and their practical applications.
  - Familiarity with deep learning frameworks and neural network architectures.
  - Ability to develop and optimize chatbots and image processing solutions.
  - Competence in ensuring production readiness and scalability of AI systems
• Additional Information: - The candidate should have minimum 5 years of experience in Large Language Models (LLMs).
  - This position is based at our KDC1A - SEZ location.
  - A 15 years full time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

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