EY - GDS Consulting - AI And DATA - MLOps Engineer - Senior

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.

ML Ops Engineer (Senior Consultant)

Key Responsibilities :

• Lead the design, implementation, and maintenance of scalable ML infrastructure.
• Collaborate with data scientists to deploy, monitor, and optimize machine learning models.
• Automate complex data processing workflows and ensure data quality.
• Optimize and manage cloud resources for cost-effective operations.
• Develop and maintain robust CI / CD pipelines for ML models.
• Troubleshoot and resolve advanced issues related to ML infrastructure and deployments.
• Mentor and guide junior team members, fostering a culture of continuous learning.
• Work closely with cross-functional teams to understand requirements and deliver innovative solutions.
• Drive best practices and standards for ML Ops within the organization.

Required Skills and Experience :

Beneficial Skills and Experience :

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