EY wavespace is creating innovative AI technology and products that will transform EY and our clients. The successful candidate will be part of a team building innovative AI solutions that rely on AI and ML techniques including but not limited to natural language processing, computer vision, deep learning, and machine learning. **You will work with:** * Explore and try out exciting upcoming libraries, models, technologies to analyze and recommend the best one for the team * 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. * Develop and evaluate 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 **Key requirements** * Excellent programming skills: Experience in languages such as Python * 1\-2 years of relevant experience * 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 * Good understanding in Deep Learning * Familiarity with Azure cloud ecosystem and OpenAI models * Experience working with large data sets * Excellent problem\-solving skills * Strong communication and teamwork * Familiarity with Financial Services * Proficiency in English **Our commitment to diversity \& inclusion** We are genuinely passionate about inclusion and we support individuals of all groups; we do not discriminate on the basis of race, religion, gender, sexual orientation, or disability status.