AI & Machine Learning Engineer - Staff II - Consulting - Open Location

Technology – Data and Decision Science – AI Native Engineering – Staff

AI/Machine Learning Engineer, Staff Consultant

The opportunity

Our 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, some of which have not been solved before. 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.   

 
As a Staff AI Native Engineer, you will be at the forefront of revolutionizing how businesses leverage artificial intelligence. Your role will involve researching, building, and implementing scalable AI systems that learn and make predictions tailored to diverse business environments, whether in the cloud or on-premises. You will enhance data pipelines to ensure data integrity and optimize learning processes, all while collaborating with a talented team of data and analytics professionals. 

Your key responsibilities

As an AI Native Engineer, you will play a crucial role in the development and implementation of cutting-edge AI solutions. Your time will be spent on the following core responsibilities:

• Contributing to the delivery of processes, solutions, and projects by researching and presenting relevant information to inform recommendations.
• Engaging in live interactions with project teams and clients to define deliverables, which constitutes approximately 80% of your time.
• Actively participating in client working sessions and supporting opportunities for additional services.

This role may require regular travel as needed by external clients, providing you with the opportunity to engage directly with clients and enhance your professional network.

In this role, you will research, build, and implement scalable artificial intelligence systems that learn and make predictions based on business requirements across various environments, including cloud and on-premises. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes. Additionally, you will monitor, evaluate, and optimize learning processes to continuously improve high-performance models.

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. Many on our team have advanced academic degrees or equivalent experience in industry. 

Skills and attributes for success

To excel in this role, you will need a blend of technical and interpersonal skills. Your ability to navigate complex challenges and deliver impactful solutions will be essential. 

This 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

The following attributes will make a significant impact:

• Strong computational thinking and programming skills.
• Proficiency in deep learning, machine learning, and data architecture design.
• Ability to communicate effectively and build relationships with clients.
• Demonstrated emotional agility and learning agility in a fast-paced environment.

To qualify for the role, you must have

• A Bachelor’s degree required (4-year degree).
• 1 - 2 years of relevant experience in AI and/or Machine Learning.

The ideal candidate will possess the following specialized skills:

• Deep learning expertise.
• Strong mathematics, statistics, and operations research background.
• Familiarity with continuous integration and continuous delivery/deployment practices.
• Ability to drive outcomes through complex problem-solving and critical thinking.

• 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 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. 

• Willingness to travel to meet client obligations. 

Ideally, you’ll also have

• Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field. 
• Experience in hybrid collaboration and communicating with impact.
• A proactive approach to learning and adapting to new technologies.
• A passion for driving innovative solutions in a team environment.

• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them. 

• Strong skills in languages beyond Python: R, JavaScript, Java, C++, C. 

• Experience fine-tuning Generative AI models. 

What we look for

We seek individuals who are not only technically proficient but also possess the qualities of adaptability, creativity, and a collaborative spirit. Top performers are those who embrace challenges, think critically, and are committed to continuous learning and improvement.