Starszy Inżynier ds. Implementacji AI/ML / Senior AI/ML Implementation Engineer

Wrocław, DS, PL, 50-086

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AI Specialist - Client Technology - NITRO

 

Location: Wrocław / Warsaw
Hybrid model: 2 days 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

 

The selected candidate:

  • Collaborates with senior data scientists to build, fine-tune, and evaluate generative AI models, including large language models (LLMs), for various applications
  • Implements data pipelines and workflows to gather, clean, and prepare data from diverse sources for analysis and model training
  • Works on developing and deploying machine learning algorithms, ensuring models are optimized for performance and scalability
  • Assists in translating complex technical findings into actionable insights and recommendations for non-technical stakeholders, contributing to impactful business decisions

 

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

 

  • 2-4 years of 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
  • Good knowledge with cloud ecosystems, Azure is preferred   
  • Strong programming skills in Python and developing APIs
  • Knowledge of containerization platforms like Docker is a must
  • Experience with Git and modern software development workflow
  • 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 in ML/NLP algorithms, including supervised and unsupervised learning
  • 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

 

Education:

  • Bachelor 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
  • 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.

 

About EY

EY | Building a better working world

 

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.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

 

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

The exceptional EY experience. It’s yours to build.

 

In compliance with the requirements of the Whistleblower Protection Act, our company has established the Procedure for reporting breaches of law and undertaking appropriate follow-up actions

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: APIs AWS Azure Big Data Computer Science Consulting Databricks Data pipelines Data quality Data visualization Docker Engineering GCP Generative AI Git GPU Hadoop LLMs Machine Learning Model training NLP Pipelines Prompt engineering Python Spark SQL Unstructured data Unsupervised Learning

Perks/benefits: Career development Startup environment

Region: Europe
Country: Poland

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