AI & Machine Learning Engineer - Senior - Consulting - Location OPEN

Ernst & Young - Secaucus, NJ

Full-time - Mid Level

Secaucus, NJ

Professional, Scientific, and Technical Services

About the position

The AI & Machine Learning Engineer - Senior Consultant role at EY involves working closely with clients to deliver innovative data science and big data solutions. This position requires a strong focus on continuous learning and adapting to emerging technologies, with the goal of providing high-quality client services in a fast-paced environment. The role emphasizes collaboration within a dynamic team to tackle complex computational problems and develop scalable solutions that derive insights from diverse data sources.

Responsibilities

• Work with a variety of clients to deliver data science and big data technologies.
• Design and build scalable solutions that unify and enrich data from varied sources.
• Guide clients through the complexities of modern data science, analytics, and software engineering.
• Provide technical development tasks to ensure data science solutions are engineered and maintained effectively.
• Collaborate with a dynamic team of scientists and engineers to ideate and pursue new opportunities.

Requirements

• Bachelor's degree and 3-6 years of full-time working experience in AI and/or Machine Learning.
• Strong skills in Python.
• Experience using Generative AI models and frameworks such as OpenAI family, Dall-e, and Langchain.
• Experience with popular ML packages like scikit-learn, Pytorch, and ONNX.
• Extensive experience using DevOps tools like GIT and Azure DevOps.
• Solid understanding of Machine Learning workflows including data ingestion, analysis, and evaluation.
• Experience with MLOps methods and platforms such as MLFlow.
• Experience with CI/CD and test-driven development.
• Experience designing, building, and maintaining ML models.

Nice-to-haves

• Advanced academic degrees or equivalent industry experience.
• Familiarity with Agile tools such as Jira.

Benefits

• Inclusive culture and support for career development.
• Opportunities for continuous learning and professional growth.