CT_NITRO Experimental AI Engineer

At EY, we're all in to shape your future with confidence.

We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.  Join EY and help to build a better working world.

** The selected candidate*
* + Leads the design, development, and deployment of advanced generative AI models, including large language models (LLMs), driving innovation and solving complex business challenges

+ Oversees the end-to-end data science lifecycle, from data acquisition and preprocessing to model validation and optimization, ensuring best practices and high-quality outcomes

+ Works on developing and deploying machine learning algorithms, ensuring models are optimized for performance and scalability

+ Mentors and guides junior data scientists, fostering a collaborative environment and promoting knowledge sharing of cutting-edge techniques and tools

+ Partners with cross-functional teams to integrate AI-driven insights into products and services, translating sophisticated models into practical, scalable solutions that drive measurable impact

** Your key responsibilities include*
* + Implementing AI solutions that integrate seamlessly with existing business systems to enhance functionality and user interaction.

+ Reviewing complex data sets to establish data quality and highlighting where data cleansing is required to remediate the data

+ Designing and implementing data models to manage data within the organization,

+ Migrating data from one system to another using multiple sources, identifying and implementing storage requirements

+ Analyzing the latest trends such as cloud computing and distributed processing, and their uses in business, building industry knowledge

+ Peer reviewing models and working with relevant business areas to seek their input and ensuring they are fit for the designed purpose

+ Automating important infrastructure for the data science team.

+ Staying current with AI trends and suggesting improvements to existing systems and workflows.

** Skills and attributes for success*
* + 8+ years' experience in machine learning, large scale data acquisition, transformation, and cleaning, both structured and unstructured data

+

Experience with generative LLM fine-tuning and prompt engineering.

+ Proficiency with data wrangling, visualization, and modeling in Python

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

+ Good knowledge with cloud ecosystems, Azure is preferred

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

+ Strong programming skills in Python

+

Experience with tools in the distributed computing, GPU, cloud platforms, and Big Data domains (e.g., GCP, AWS, MS Azure, Hadoop, Spark, Databricks) is a plus

+

Experience with SQL, Document DBs and Vector DBs

+ Batch Processing - Capability to design an efficient way of processing high volumes of data where a group of transactions is collected over a period Data

+ Visualization and storytelling - Capability to assimilate and present data, as well as more advanced visualization techniques. Capability to engage and explain data creating a narrative around data visualization​

+ Knowledge of containerization platforms like Docker is a plus.

+

Experience with Git and modern software development workflow.

+ Non-Technical

Skills:

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

+ Must thrive in a fast-paced environment and be able to work independently.

+ Excellent in communication skills

+ Education

+ Bachelor/Master/PG 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

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

+ Customer focused

+ Excellent time management skills

+ Positive and constructive minded

+ Takes responsibility for…