Location: Wrocław, Warszawa
Hybrid model: 2 days office/3 days remote
Client Technology NITRO-AI
Let us introduce you the job offer by EY GDS Poland – a member of the global integrated service delivery center network by EY.
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
· 4+ 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
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.
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