Client Technology NITRO-AI Specialist
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, TensorFlow, 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
- 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
What we offer
EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across ten locations – Argentina, China, Hungary, India, the Philippines, Poland, Sri Lanka, Mexico, Spain and the United Kingdom – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.
- Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
- Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
- Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
- Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
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.