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 18 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 system capabilities. Additionally, the role may involve exploring and implementing various AI techniques such as deep learning, neural networks, conversational agents, and image analysis to create innovative and effective solutions that address complex challenges across different domains.

Roles & Responsibilities:

- Expected to be a SME 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 with stakeholders to align AI solutions with organizational goals and ensure seamless integration.
- Mentor and guide junior team members to foster skill development and knowledge sharing within the team.
- Continuously evaluate emerging AI technologies and methodologies to recommend improvements and innovations.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Experience in designing and deploying AI applications using cloud-based AI services and on-premises infrastructure.
- Solid understanding of generative artificial intelligence models and their practical applications.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to develop and optimize AI pipelines for production-ready solutions.
- Experience with chatbot development and image processing techniques.

Additional Information:

- The candidate should have minimum 18 years of experience in Large Language Models (LLMs).

- This position is based at our BDC7A - SEZ office.

- A 15 years full time education is required.

15 years full time education

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