EY EY - GDS Consulting AI DATA -MLOPS Senior 

India, Telangana, Hyderabad 

31878436

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.

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