EY GDS Consulting AI And DATA MLOps Engineer Senior
EY GDS Consulting AI And DATA MLOps Engineer Senior
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Job Description
At EY youll 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 were 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:
- Minimum 5 years of experience in infrastructure engineering.
- Proficiency in using EMR (Elastic MapReduce) for large-scale data processing.
- Extensive experience with SageMaker ECR S3 Lamba functions Cloud capabilities and deployment of ML models.
- Strong proficiency in Python scripting and other programming languages.
- Experience with CI/CD tools and practices.
- Solid understanding of the machine learning lifecycle and best practices.
- Strong problem-solving skills and attention to detail.
- Excellent communication skills and ability to work collaboratively in a team environment.
- Demonstrated ability to take ownership and drive projects to completion.
- Proven experience in leading and mentoring teams.
Beneficial Skills and Experience:
- Experience with containerization and orchestration tools (Docker Kubernetes).
- Familiarity with data visualization tools and techniques.
- Knowledge of big data technologies (Spark Hadoop).
- Experience with version control systems (Git).
- Understanding of data governance and security best practices.
- Experience with monitoring and logging tools (Prometheus Grafana).
- Stakeholder management skills and ability to communicate technical concepts to non-technical audiences.
EY Building a better working world
EY exists to build a better working world helping to create long-term value for clients people and society and build trust in the capital markets.
Enabled by data and technology diverse EY teams in over 150 countries provide trust through assurance and help clients grow transform and operate.
Working across assurance consulting law strategy tax and transactions EY teams ask better questions to find new answers for the complex issues facing our world today.
Employment Type
Full Time
