Senior AI/ML Engineer/Specialist

Senior AI/ML Engineer/Specialist

Rodzaj pracy
Pełny etat
Doświadczenie
Starszy specjalista/Senior
Forma zatrudnienia
UoP
Tryb pracy
Praca hybrydowa

Wymagane umiejętności

angielski C1

machine learning

AI

Opis stanowiska

Rekrutacja zdalna

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.

 

  • 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.

 

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