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 requires strong technical leadership and the ability to mentor junior engineers while solving complex challenges in AI and data. The role offers significant growth opportunities within a dynamic team focused on continuous learning and skills development. Candidates will work closely with data scientists and product managers to deliver high-value AI solutions to clients.

• 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.