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EY EY - GDS Consulting AI DATA ML Ops Specialist Manager 
India, Kerala, Thiruvananthapuram 
866660613

Yesterday

Job Title: Senior ML Ops Specialist - Manager

8-12 years

Key Responsibilities:

  • Lead the design, implementation, and management of ML Ops pipelines to streamline the deployment, monitoring, and maintenance of machine learning models in production.
  • Collaborate with data scientists, engineers, and business stakeholders to ensure seamless integration of ML models into existing systems and workflows.
  • Utilize Azure services for deploying, managing, and scaling machine learning applications and infrastructure effectively.
  • Monitor model performance, implement strategies for continuous improvement, and optimize model efficiency and reliability.
  • Develop and maintain comprehensive documentation for ML Ops processes, workflows, and best practices.
  • Implement AI Ops practices to enhance operational efficiency and reliability of AI systems across banking and insurance applications.
  • Troubleshoot and resolve complex issues related to model deployment, performance, and data quality.
  • Stay updated on industry trends and advancements in ML Ops and AI Ops, providing strategic recommendations for implementation.

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
  • 8-12 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 extensive experience in ML frameworks (e.g., TensorFlow, PyTorch).
  • Strong understanding of Azure services related to machine learning (e.g., Azure Machine Learning, Azure DevOps).
  • Proven experience with CI/CD practices for machine learning model deployment and automation.
  • Excellent analytical and problem-solving skills, with a focus on delivering reliable and scalable AI solutions.
  • Strong leadership and communication skills, with 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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