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

$105,800 - $174,800/Yr

Ernst & Young - Stamford, CT

Full-time - Mid Level

Stamford, CT

Professional, Scientific, and Technical Services

About the position

As a Senior AI & Machine Learning Engineer at EY, you will be part of the Artificial Intelligence and Data team, working closely with clients to deliver innovative data science and big data solutions. This role emphasizes continuous learning and collaboration, allowing you to tackle complex computational problems while developing your career in a fast-paced environment. You will be responsible for designing and building scalable solutions that unify and derive insights from diverse data sources, ensuring that data science solutions are effectively engineered and maintained to meet client needs.

Responsibilities

• Work with a variety of clients to deliver data science and big data technologies.
• Design and build scalable solutions that unify, enrich, and derive insights from varied data sources.
• Provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained.
• Collaborate with a dynamic team of scientists and engineers to tackle challenging computational problems.
• Deliver tech at speed, innovate at scale, and focus on human-centered solutions.
• Communicate findings, recommendations, and opportunities to improve data systems and solutions.

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 and pipelines.
• Experience deploying end-to-end ML workflows on major cloud platforms.
• Understanding of data structures, data modeling, and software engineering best practices.
• Proficiency in data manipulation tools and libraries such as SQL, Pandas, and Spark.
• Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.

Nice-to-haves

• Master's degree in Computer Science, Mathematics, Physical Sciences, or other quantitative fields.
• Experience working with diverse teams to deliver complex solutions.
• Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.
• Experience fine-tuning Generative AI models.

Benefits

• Comprehensive compensation and benefits package based on performance.
• Medical and dental coverage.
• Pension and 401(k) plans.
• Wide range of paid time off options including flexible vacation policy.
• Time off for designated EY Paid Holidays, Winter/Summer breaks, and Personal/Family Care.