Responsible AI Tech Lead

Project Role :Responsible AI Tech Lead


Project Role Description :Ensure the ethical and responsible use of artificial intelligence (AI) technologies. Design and deploy Responsible AI solutions; align AI projects with ethical principles and regulatory requirements. Provide leadership, fosters cross-functional collaboration, and advocates for ethical AI adoption.
Must have skills :Accenture Delivery Architectures (ADA)

Good to have skills :NA
Minimum 7.5 year(s) of experience is required

Educational Qualification :15 years full time education
Summary:As an AI / ML Engineer, you will develop applications and systems that utilize AI tools and Cloud AI services. You will be responsible for creating a proper cloud or on-prem application pipeline with production-ready quality. Additionally, you will apply GenAI models as part of the solution, which may include deep learning, neural networks, chatbots, and image processing.
Roles & Responsibilities:

Lead architecture, design, cross business area projects and development teams for AI applications

Identify and explore the framework, NLP tools, VA platform, architecture, or tech stack can be used to create a solution and the connection between the components

Collaborate with cross-functional teams to ensure seamless integration of AI-based applications and systems.

Stay updated with the latest advancements in AI and machine learning technologies, integrating innovative approaches for sustained competitive advantage.

Expected to perform independently and become an SME.

Required active participation/contribution in team discussions.

Contribute to providing solutions to work-related problems.

Develop applications and systems utilizing AI tools and Cloud AI services.

Create a proper cloud or on-prem application pipeline with production-ready quality.

Apply GenAI models as part of the solution.

Utilize deep learning techniques to enhance AI applications.

Implement neural networks to improve AI system performance. Professional & Technical Skills:

Must To Have Skills:Proficiency in Accenture Delivery Architectures (ADA).

Strong understanding of statistical analysis and machine learning algorithms.

Experience with data visualization tools such as Tableau or Power BI.

Hands-on experience implementing various machine learning algorithms.

Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.

Knowledge of applications using MEAN stack, Angular JS, Nodejs, Python

Understanding of UI technologies like HTML, JavaScript, jQuery

Hands on experience on VA tools like Microsoft Bot Framework, Google Dialog flow, RASA, Amazon Lex at least 2

Knowledge of:Big Data, LAMP Linux, Apache, MySQL, PHP, DevOps, PaaS Additional Information:

A 15 years full-time education is required.Qualification15 years full time education