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 3 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.