About this role
Summary: The Senior AI/ML Implementation Engineer develops and deploys AI models, translates business ideas into IT plans, and ensures modern AI best practices. The role involves monitoring technology trends, analyzing ML algorithms, and sharing engineering knowledge within a global delivery center environment.
Senior AI/ML Implementation Engineer
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.
EY is a global leader in assurance, tax, transaction, and advisory services. Technology is at the heart of what we do and deliver at EY. Technology solutions are integrated in the client services we deliver and are key to our innovation as an organization.
Fueled by strategic investment in technology and innovation, Client Technology seeks to drive growth opportunities and solve complex business problems for our clients through building a robust platform for business and powerful product engine that are vital to innovation at scale. As part of Client Technology, you’ll work with technologists and business experts, blending EY’s deep industry knowledge and innovative ideas with our platforms, capabilities, and technical expertise. As a catalyst for change and growth, you’ll be at the forefront of integrating emerging technologies from mobile application into every corner of what we do at EY. That means more growth for you, exciting learning opportunities, career choices, and the chance to make a real impact.
Your key responsibilities
- AI application development, translating business ideas and technology requirements into concrete IT plans, software architectures and code
- Monitor technology trends and perform R&D activities in AI\ML area
- 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
Skills and attributes for success
- 3+ years of experience in AI development.
- Strong programming skills, with expertise in languages like Python with a good knowledge of ML, Data and API libraries.
- Experience with AI models and its development.
- Experience with Cloud Computing (Azure, AWS, Dockers, Kubernetes etc)
- Hands-on experience with application integration via REST API
- Knowledge of database techniques like SQL, NoSQL databases
- Experienced in Deep Learning (Tensorflow/pyTorch sklearn, xgboost)
- Experience in Agentic AI developments frameworks , protocols and Agent to agent interoperability.
- Interest in understanding functional and industry business challenges.
- Strong in Engineering mathematics methods: advanced linear algebra, probability, and statistics
Ideally, you’ll also have
- Expertise in Big Data, Data Modelling
- Experience working with SAP platforms SAP GenAI Hub - SAP AI Core and AI Launchpad, SAP DataSphere, SAP Analytics Cloud.
- Understanding of AI capabilities in SAP Business Data Cloud (BDC) and Databricks
- Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
- Experience in MLOps.
What we look for
- A self-starter, independent-thinker, curious and creative person with ambition and passion
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.
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.
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