
AI / ML Engineer
Responsibilities
Qualifications & Requirements
Experience Level: Senior Level
Full Job Description
About the Role
As an AI / ML Engineer at Accenture in Bengaluru, you will be instrumental in developing cutting-edge applications and systems that harness the power of Artificial Intelligence tools and cloud AI services. Your responsibilities will include designing and implementing production-ready application pipelines, whether on cloud or on-premises infrastructure. A key aspect of this role involves the application of Generative AI models as integral components of the solutions you build. This can extend to areas such as deep learning, neural networks, chatbots, and image processing.
You are expected to be a Subject Matter Expert (SME), collaborating with and managing teams to achieve high performance. You will be responsible for team decisions and will engage with multiple teams, contributing to key strategic decisions. Providing innovative solutions to complex problems for your immediate team and across other teams is a core function. Furthermore, you will mentor junior team members, fostering their professional development and continuously evaluating and improving existing AI models and systems.
Must-Have Skills:
- Proficiency in Generative AI
Good-to-Have Skills:
- Experience with Python (Programming Language)
- Experience with Large Language Models (LLMs)
- Experience with AWS AI Services
- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch
- Experience in developing and deploying chatbots and image processing applications
- Familiarity with cloud computing platforms and services
Qualifications:
- Minimum 5 years of experience in Generative AI
- 15 years of full-time education