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 Management Console, Java (Programming Language), Splunk, Python Frameworks, Azure AD, Teraform

Positive 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 leverage artificial intelligence tools and cloud-based AI services. The role requires managing application pipelines that are ready for production, whether deployed on cloud platforms or on-premises environments. The engineer integrates generative AI models into solutions and works on diverse AI technologies such as deep learning, neural networks, chatbots, and image processing.

Collaboration with cross-functional teams to ensure seamless deployment and continuous improvement of AI-driven applications is a key aspect of daily activities.

Roles & Responsibilities:

- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.




- Contribute in providing solutions to work related problems.
- Collaborate with team members to enhance AI application performance and scalability.
- Assist in troubleshooting and resolving technical issues related to AI systems and cloud deployments.
- Support junior team members by sharing knowledge and best practices.
- Continuously monitor and optimize AI models and pipelines to maintain production quality.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in AWS Management Console, Java (Programming Language), Python Frameworks, Splunk.
- Experience with cloud infrastructure management and deployment using AWS services.
- Strong programming skills in Java and Python for developing AI and machine learning applications.
- Familiarity with monitoring and logging tools such as Splunk to ensure system reliability.
- Understanding of AI model integration and deployment in cloud or on-premises environments.
- Ability to work with generative AI models and implement solutions involving deep learning and neural networks.

Additional Information
- The candidate should have minimum 3 years of experience in AWS Management Console.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
- Must have Skills : Azure AD, AWS IAM/Cognito, Splunk SIEM, Terraform, AD FS, Session & Token Handling

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