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 : AWS AI Services
Valuable to have skills : Large Language Models (LLMs)
Minimum 18 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 leverage artificial intelligence tools and cloud-based AI services. The role requires integrating these solutions within cloud or on-premises environments, ensuring that the application pipelines are robust and production-ready. The engineer applies generative artificial intelligence models as part of the overall solution, which may also encompass deep learning techniques, neural networks, chatbot development, and image processing tasks. Collaboration with various teams to align technical implementations with project goals is a key aspect of the daily workflow.

Roles & Responsibilities:

- Expected to be a subject matter expert with deep knowledge and experience.




- Should have influencing and advisory skills.
- Engage with multiple teams and responsible for team decisions.
- Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems.
- Collaborate effectively with stakeholders to ensure alignment of AI solutions with business objectives.
- Continuously evaluate emerging technologies and methodologies to enhance AI system capabilities.
- Mentor junior team members to foster skill development and knowledge sharing.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in AWS AI Services, Large Language Models (LLMs).
- Good To Have Skills: Experience with Large Language Models (LLMs).
- Strong understanding of cloud computing principles and architecture related to AI service deployment.
- Experience in designing and implementing scalable AI pipelines and workflows.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to optimize AI models for performance and cost efficiency in cloud environments.

Additional Information:

- The candidate should have minimum 5 years of experience in AWS AI Services.

- This position is based at our BDC11 - SEZ location.

- A 15 years full time education is required.

15 years full time education

📌 AI / ML Engineer (India)
🏢 Accenture
📍 India