AI/ML Engineer/Specialist

Location: Wrocław, Warszawa

Hybrid model: 2 days office/3 days remote

AI/ML Engineer/Specialist 

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

• Assist in the collection and documentation of users’ requirements, development of user stories, estimates and work plans 
• Ensure modern AI/Gen AI best practices are applied 
• Develop, validate and deploy AI models. 
• Establish and maintain development standards/best practices 
• Analyze the ML algorithms that could be used to solve a given problem and ranking them by their success probability.
• Share the knowledge on the best ML Engineering practices with the team

Your key responsibilities

• 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

• 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
• 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.

• 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.