Machine Learning Engineer

Job description

EY Global Delivery Services means 40.000 specialists providing globally IT, project management and strategic business services to EY member firms. In addition we deliver support and solutions to clients from all over the world.

EY is a global leader in assurance, tax, transaction and advisory services. Technology is at the heart of what we do and deliver at EY. Technology solutions are integrated in the client services we deliver and are key to our innovation as an organization.  

Fueled by strategic investment in technology and innovation, Client Technology seeks to drive growth opportunities and solve complex business problems for our clients through building a robust platform for business and powerful product engine that are vital to innovation at scale. As part of Client Technology, you’ll work with technologists and business experts, blending EY’s deep industry knowledge and innovative ideas with our platforms, capabilities, and technical expertise. As a catalyst for change and growth, you’ll be at the forefront of integrating emerging technologies from AI to Data Analytics into every corner of what we do at EY. That means more growth for you, exciting learning opportunities, career choices, and the chance to make a real impact.

The opportunity

The selected candidate: 

·  Develops and evaluates data analytics models, algorithms, systems and solutions using a variety of advanced data science techniques
·  Produces complex predictive models and manages the delivery of solutions which can be used to drive measurable client and commercial benefit
·  Develops a solid understanding of data structures and business in order to extract and integrate required data sources for analysis

Your key responsibility

·  Design and implement scalable ML and DL systems, products, and solutions.
·  Collaborate with engineering and DevOps teams to build and deliver systems that can be deployed both in the cloud and on premise, e.g., using Azure, Docker, and Kubernetes.
·  Build deep learning-based products on CPUs and GPUs, leveraging latest deep learning and machine learning libraries.

Skills and attributes for success

·  Machine Learning skill : Capability to develop and use algorithms that analyze a data set, which then self-learn from that Analysis to improve the predictions made by these algorithms. The more often the algorithm is run / optimized, the more it learns and improves.  This can then be used to make data-driven predictions.​​
·  Third Party AI Tools : Google API, Amazon Web Services Machine Learning API, Google TensorFlow, Theano, Caffe, Kera, CNTK, Microsoft Distributed Machine Learning Toolkit

To qualify for the role, you must have

·  Bachelor's Degree in Actuarial, Behaviour Economics, Computer Science, Data Analytics, Data Science, Econometrics, Engineering, IT, Cyber Security, or related field preferred 
·  You can take a large a big problem, decompose it into smaller parts and own delivering the whole solution
·  You have expertise in one or more object-oriented languages, including Python, Go, Java, Scala, or C++, and an eagerness to learn more
·  You have experience with both machine learning and building software
·  You have experience with databases
·  Machine learning domain knowledge—bias-variance tradeoff, exploration/exploitation—and understanding of various model families, including neural net, decision trees, Bayesian models, instance-based learning, association learning, and deep learning algorithms
·  You have the ability to solve complex business problems and apply machine learning to problems no one has ever attempted before
·  You follow a strong adherence to metrics driven development, with a disciplined and analytical approach to product development

Ideally, you’ll also have

·  You have experience in statistics
·  You enjoy reading academic papers and implementing experimental systems
·  Experience developing complex software systems that have been deployed to an active userbase
·  You have experience presenting at industry recognized ML conferences as well as being published in the field
·  You have experience in Natural Language Processing

What we look for

·  A self-starter, independent-thinker, curious and creative person with ambition and passion

 

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

Make your mark.

Apply now.