The Senior Machine Learning Engineer at EY will play a crucial role in designing, building, and deploying scalable machine learning systems, particularly in the financial services sector. This position is part of a dynamic team focused on leveraging AI and data to solve complex challenges and deliver high-value solutions to clients. The role emphasizes technical leadership, mentoring junior engineers, and fostering a collaborative environment. Candidates will have opportunities for continuous learning and career growth while contributing to innovative projects.

• 8+ years of hands-on experience in Machine Learning Engineering, MLOps, or AI system development.
• Minimum of 2 years of direct experience in engineering and deploying Generative AI/LLM solutions in production.
• Deep proficiency in Python for production-grade ML development, with expertise in relevant libraries.
• Strong experience with PySpark for large-scale data processing and building robust data pipelines.
• Proficiency in big data frameworks and experience with streaming technologies.

• Lead the design and architecture of robust, scalable, and high-performance machine learning systems.
• Own the end-to-end lifecycle of deploying and operationalizing machine learning models in production environments.
• Develop, optimize, and implement advanced machine learning algorithms and statistical models.
• Engineer and integrate cutting-edge Generative AI and Natural Language Processing solutions.
• Establish and implement MLOps practices, including CI/CD pipelines and automated testing.

• Ernst & Young (EY) offers a comprehensive and competitive benefits package designed to support the well-being of its employees across various dimensions.