AI / ML Engineer - NITRO Team

Description

AI/ML Engineer – Client Technology Location: Location: Wrocław / Katowice - 2 days in office / 3 days remote Let us introduce you the job offer by EY GDS Poland – a member of the global integrated service delivery center network by EY. The opportunity 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 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

What we offer

• EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across nine locations – Argentina, 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.

Requirements

• 2+ 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

• 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

Zakres obowiązków

• 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,

Zakres obowiązków

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

• Attention to detail

• High levels of integrity and honesty

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.