Supervising Associate – Data Science – Gen AI

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

Job Title :Supervising Associate – EDS

Job purpose    
As an AI Technical Lead, you will be at the forefront of artificial intelligence development, working on cutting-edge technologies to create and improve general AI systems. The ideal candidate will have a strong background in Python, full-stack development, and Microsoft Azure, along with a deep understanding of AI and ML principles.
 

Specific Role requirements

• Lead the planning, execution, and delivery of Generative AI projects, ensuring they meet quality standards and are completed on time and within budget.
• Manage a team of AI specialists, full-stack developers, and other technical staff, providing guidance, support, and mentorship.
• Collaborate with cross-functional teams to integrate AI solutions into broader systems and workflows.
• Communicate effectively with stakeholders at all levels, including presenting project updates and strategic insights.
• Identify risks and issues early and implement mitigation strategies to ensure project success.
• Foster a culture of innovation and continuous improvement within the team.
• Experience in designing and building solutions using LLMs (foundation models, APIs, frameworks, prompt engineering, and techniques)
• Experience in designing and implementing modern application architecture (microservices, REST APIs, Kubernetes containers)
• Good understanding of database design, including schema design and versioning data
• Test software to ensure responsiveness and efficiency, troubleshooting, debugging, and upgrading software as needed.
• Implement and manage AI solutions on the Azure platform, ensuring optimal performance, scalability, and security.
• Utilize Azure AI services and tools to enhance the capabilities of our AI applications.

Client Responsibilities:

• Need to be curious and ask the right questions to frame problems and find right analytic solutions.
• Provide product and design level technical best practices
• Develop analytical strategies for business by leveraging the right analytical techniques and technologies
• Documenting and presenting work to the client. Proactively recommending and influencing changes in business decision-making.

Experience and Qualification:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 5-6 years of proven experience in developing and implementing AI applications, with a strong portfolio of successful implementations.
• Strong Fundamental knowledge of Data Science and Machine Learning and hands on exposure to GenAI concepts
• Knowledge of multiple front-end languages and libraries (e.g. .NET, HTML/ CSS, JavaScript, XML) and UI/UX design
• Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js)
• Hands on experience in SQL
• Extensive programming experience in Python and familiarity with full-stack development practices.
• Proficiency in cloud computing platforms, particularly Microsoft Azure.
• Strong understanding of AI and ML concepts, techniques, and industry trends.
• Excellent leadership and team management skills.
• Excellent business communication, Consulting, Quality process skills
• Outstanding communication and stakeholder management abilities.

Your people responsibilities – For People Leading Roles

• Building a quality culture
• Manage the performance management for the direct reportees, as per the organization policies
• Foster teamwork and lead by example
• Training and mentoring of project resources
• Mentor the team in a specific area of specialization (AI, machine learning etc.)
• Participating in the organization-wide people initiatives

Additional Skills requirements

• Experience in Finance domain
• Prior Client facing skills
• Prior onsite experience is a plus
• Should have engaged in client interactions, participating in business workshops

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