Overview
Si sus habilidades, experiencia y cualificaciones coinciden con las de esta descripción del puesto, no demore su solicitud.
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.
Responsibilities
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, xpzdshu 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
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.
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