Job
Description
As a Technical Architect at EY, you will play a crucial role in driving the evaluation, prototyping, and adoption of emerging technologies for customers across various industry sectors. Your expertise in full stack development, AI/ML, MEAN stack, databases, and cloud platforms will enable you to guide customers in identifying, assessing, and implementing innovative solutions that deliver business value. **Key Responsibilities:** - Lead and guide a team of Developers. - Design technical specifications for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same. - Contribute to products or tools built on Artificial Intelligence technologies and paradigms. - Hands-on experience in designing and developing applications/tools using Microsoft technologies like ASP.Net, C#, HTML5, MVC, Angular/React/Node Js. - Analyze tools and solutions to identify issues, errors, or problems, and determine suitable debugging tools and techniques. - Evaluate, design, and implement solutions using emerging technologies. - Strong understanding of architectural patterns, integration approaches, and technology adoption frameworks. - Experience with cloud-native architectures, containerization (Docker/Kubernetes), and DevOps practices. - Excellent communication, stakeholder management, and presentation skills. - Identify internal and external factors impacting requirements and analyze information from stakeholders for mapping business requirements. - Participate in designing blueprints for data architecture design and modeling solutions. - Propose enhancements or modifications to data handling procedures and monitor compliance with data management policies. - Support the development and implementation of platform features according to established design standards. - Identify key security risks and provide support in defining security specifications of components. **Qualifications Required:** - 5+ years of experience in a similar profile with a strong service delivery background. - Proven track record in evaluating, designing, and implementing solutions using emerging technologies. - Experience leading technical teams and driving cross-functional collaboration. - Exposure to industry-specific challenges and technology use cases is a plus. - Solid understanding and experience of deep learning architectures and algorithms. - Knowledge of open source libraries such as Keras, Tensor Flow, Pytorch. - In-depth understanding and experience of Data science and Machine Learning projects using Python, R etc. - Expertise in creating solution design documentation. - Ability to train and build a team of technical developers. - Desired knowledge of cloud solutions such as Azure or AWS. - Desired knowledge of container technology such as Docker. - Ability to work with multicultural global teams and build strong relationships with project stakeholders. As a Technical Architect at EY, you will play a crucial role in driving the evaluation, prototyping, and adoption of emerging technologies for customers across various industry sectors. Your expertise in full stack development, AI/ML, MEAN stack, databases, and cloud platforms will enable you to guide customers in identifying, assessing, and implementing innovative solutions that deliver business value. **Key Responsibilities:** - Lead and guide a team of Developers. - Design technical specifications for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same. - Contribute to products or tools built on Artificial Intelligence technologies and paradigms. - Hands-on experience in designing and developing applications/tools using Microsoft technologies like ASP.Net, C#, HTML5, MVC, Angular/React/Node Js. - Analyze tools and solutions to identify issues, errors, or problems, and determine suitable debugging tools and techniques. - Evaluate, design, and implement solutions using emerging technologies. - Strong understanding of architectural patterns, integration approaches, and technology adoption frameworks. - Experience with cloud-native architectures, containerization (Docker/Kubernetes), and DevOps practices. - Excellent communication, stakeholder management, and presentation skills. - Identify internal and external factors impacting requirements and analyze information from stakeholders for mapping business requirements. - Participate in designing blueprints for data architecture design and modeling solutions. - Propose enhancements or modifications to data handling procedures and monitor compliance with data management policies. - Support the development and implementation of platform features according to established design standards. - Identify key security risks and provide support in defining security specifications of components. **Qualifications Required:** - 5+ years of experience in a similar profile with a strong service delivery background. - Proven track record in evaluating, designing, and implementing solutions using emerging techno
