CT-NITRO-Experimental AI Engineer

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, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Nitro: AI Engineer

The selected candidate

Provides technical leadership in the development and deployment of generative AI solutions, including large language models (LLMs), ensuring alignment with business objectives and industry best practices

Architects and oversees the design of scalable data and machine learning pipelines, ensuring robust, efficient, and secure integration of AI models into production environments

Leads cross-functional teams of data scientists, engineers, and product managers, driving project timelines, resource allocation, and delivering impactful AI-driven products and solutions

Champions innovation by staying ahead of the latest advancements in AI, guiding the strategic direction of AI initiatives, and mentoring team members to elevate the organization’s data science capabilities

Your key responsibilities include

Managing the delivery of data science insights using a range of tools and methods to create cognitive services involving complex algorithms, machine learning and artificial intelligence methods

Developing new sophisticated algorithms and improving existing machine learning techniques

Demonstrating ability to make business recommendations based on the data that drive better business decisions

Collaborating with relevant business areas to identify new projects and opportunities, understanding their requirements, setting success criteria and ensuring delivery

Possibly leading medium sized projects or training / mentoring junior team member

Skills and attributes for success

12+ years’ experience in machine learning, data mining, predictive modeling, statistical modeling, large scale data acquisition, transformation, and cleaning, both structured and unstructured data

Proficiency with data wrangling, visualization, and modeling in Python

Experience in ML/NLP algorithms, including supervised and unsupervised learning.

In-depth knowledge of deep learning methods, including recurrent neural networks, long short-term memory (LSTM) networks, recursive neural networks, autoencoders etc.

Experience in machine learning frameworks and tools (e.g., sci-kit-learn, Keras, TensorFlow, MXNet, PyTorch, MLlib)

Experience with Hugging Face Transformers and other open-source NLP/NLG modules

Experience with generative LLM fine-tuning and prompt engineering.

Strong programming skills in Python

Knowledge of containerization platforms like Docker is a plus.

Bonus if you have experience with Git and modern software development workflow.

Non-Technical Skills:

Proven track record of leading and collaborating on strategic initiatives for at least the last 2-3 years.

Strong team and business communication skills – can walk through and approach with technical clients or explain tricky concepts to non-technical people

Ability to collaborate with people at all levels and with multi-office or regional teams.

Must thrive in a fast-paced environment and be able to work independently. Strategic consulting experience is a plus.

Excellent in communication skills

Education

Bachelor/Master/PG/Ph.D in Artificial Intelligence, Analytics, Data Science, Computer Science, Engineering, Information Technology, Social Sciences or related fields preferred

What we look for

Strong analytical skills and problem-solving ability

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

Expert in Python programming with experience in developing and deploying web apps

Excellent inter-personal, communication, collaboration, and presentation skills

Customer focused

Excellent time management skills

Positive and constructive minded

Takes responsibility for continuous self-learning

Takes the lead and makes decisions in critical times and tough circumstances

Attention to detail

High levels of integrity and honesty

EY | Building a better working world

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.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.