EY EY - GDS Consulting AI DATA ML Ops Specialist- Senior 

India, Karnataka, Bengaluru 

181478767

Job Title: ML Ops Specialist - Senior

3-7 years

Key Responsibilities:

• Design, implement, and manage ML Ops pipelines to streamline the deployment and monitoring of machine learning models in production.
• Collaborate with data scientists and engineers to ensure smooth integration of ML models into existing systems and workflows.
• Utilize Azure services for deploying, managing, and scaling machine learning applications and infrastructure.
• Monitor model performance and implement strategies for continuous improvement and optimization.
• Develop and maintain documentation for ML Ops processes, workflows, and best practices.
• Implement AI Ops practices to enhance operational efficiency and reliability of AI systems.
• Troubleshoot and resolve issues related to model deployment, performance, and data quality.
• Stay updated on industry trends and advancements in ML Ops and AI Ops, recommending best practices for implementation.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• 3-7 years of experience in ML Ops and AI Ops, preferably in the banking and insurance sectors.
• Proficiency in programming languages such as Python or R, with experience in ML frameworks (e.g., TensorFlow, PyTorch).
• Strong understanding of Azure services related to machine learning (e.g., Azure Machine Learning, Azure DevOps).
• Experience with CI/CD practices for machine learning model deployment.
• Excellent analytical and problem-solving skills, with a focus on delivering reliable AI solutions.
• Strong communication skills and the ability to work effectively in a collaborative environment.

Preferred Skills:

• Familiarity with containerization technologies (e.g., Docker, Kubernetes) for deploying ML models.
• Knowledge of data governance and compliance standards in the banking and insurance sectors.
• Experience with monitoring and logging tools for AI systems.

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