The primary responsibilities include collaborating with data scientists on model integration and deployment, setting up infrastructure for deploying and monitoring models, managing cloud resources, implementing CI/CD pipelines, building data pipelines, monitoring model and system performance, ensuring data security and compliance, documenting processes, and staying updated with MLOps/AIOps advancements.
The ideal candidate should have a Bachelor's or Master's degree in computer science, data science, or engineering, with demonstrated experience in deploying machine learning models, working with cloud platforms like AWS or Azure, and possessing strong skills in DevOps, version control, and automated testing. Proficiency in containerization technologies and MLOps tools is highly advantageous.
EY offers a competitive remuneration package including benefits like technological equipment, health insurance, performance rewards, flexible working arrangements, personalized learning experiences, international project opportunities, and a diverse, inclusive work culture. The role provides opportunities for professional growth, leadership development, and working in a top-rated employer environment.
