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EY GDS – AI and DATA – Manager – Data Architect

As part of our EY-GDS AI & DATA team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance.

The opportunity

We’re looking for Managers with strong technology and data understanding having proven delivery capability and client experience. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing AI & DATA team.

Responsibilities

Partner with Analytics and AIML teams to develop and analyze features at scale. Provide SME level interface for team members to optimize their workflows, streamline operationalization and reduce time-to-market

• Develop distributed applications on-prem as well as on Cloud that scale to serve ML models, analytics, rules, web-applications, and Visualizations for end-users
• Production deployment and Model monitoring to ensure stable performance and adherence to standards
• Develop libraries to ease development, monitoring and control of data and models
• Identify potential improvements to the current design/processes.

Skill Set:

Primary skills

• Experienced professional with 8 – 11 years of experience working towards design, architecture, development, and operationalization of Data Engg & AI/ML models across Big Data Ecosystem (PySpark, Hadoop, Snowflake, Python)
• Experience in architecture, design, and implementation of data intensive applications for practical use-cases
• Experience and understanding Java/C++
• Experience working in Linux environment involving writing shell scripts, troubleshooting business user issues, Familiar with NFS shares, resolving permission issues and space issues.

Good to have skills

• Experience in the Financial Industry.
• Knowledge of Data Warehouse (Teradata, Oracle, SQL server, etc)
• Knowledge of cloud platforms
• Experience working in and Kanban Team
• Knowledge of CI/CD Pipelines GitHub Actions

Qualifications

• Bachelor's or Master's degree in Computer Science or related field, or equivalent job experience
• 8+ years of experience in software development
• 3+ years of experience architecting distributed systems
• 2+ years of experience building ML applications

EY | Building a better working world

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