AI & Machine Learning Engineer - Senior - Consulting - Location OPEN
3 weeks ago
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all.
The exceptional EY experience. It's yours to build.
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
AI/Machine Learning Engineer, Senior ConsultantThe opportunityOur Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.
Your key responsibilitiesYou will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.
You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities.
Skills and attributes for successThis role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.
To qualify for the role you must have- 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 e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG).
- Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries.
- Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.
- A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.
- Experience with MLOps methods and platforms such as MLFlow.
- Experience with CI/CD and test-driven development.
- Experience designing, building, and maintaining ML models, frameworks, and pipelines.
- Experience designing and deploying end to end ML workflows on at least one major cloud computing platform.
- Understanding of data structures, data modelling and software engineering best practices.
- Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark.
- Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions.
- Experience with containerization and scaling models.
- Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications.
- Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.
- Willingness to travel to meet client obligations.
- A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.
- Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field.
- 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.
- You have an agile, growth-oriented mindset.
- You are curious and purpose driven.
- You are inclusive.
We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $105,800 to $174,800. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $127,100 to $198,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
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