Digital Factory - AI ML Engineer

Luxembourg, LU, L-1855

EY

EY provides consulting, assurance, tax and transaction services that help solve our client’s toughest challenges and build a better working world for all.

View company page

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Digital Factory Luxembourg is a diverse group of digital experts, including designers, developers, AI specialists, and business professionals. Our mission is to creating valuable digital solutions for our clients and stakeholders. We develop industry-leading solutions across software development, analytics, artificial intelligence, and more.

 

The opportunity

EY Luxembourg's Digital Factory seeks a skilled and forward-thinking AI Engineer to design, build, and deploy impactful AI solutions tailored to address financial services challenges. You'll work collaboratively with data scientists, software engineers, and business stakeholders to leverage the power of AI for enhanced decision-making, process automation, and the creation of new client-facing products.

Digital Factory Luxembourg is a diverse group of digital experts, including designers, developers, AI specialists, and business professionals. Our mission is to creating valuable digital solutions for our clients and stakeholders. We develop industry-leading solutions across software development, analytics, artificial intelligence, and more.

 

Your key responsibilities

 

  • Continuous Cross-Departmental Collaboration: Engage in ongoing dialogue with various internal business departments to gain a deep understanding of their processes and workflows.
  • Identification of Automation Opportunities: Analyze existing processes to identify and prioritize opportunities for automation that promise significant productivity improvements.
  • Process Analysis and Decomposition: Break down complex business processes into manageable components suitable for automation.
  • ML Solution Design: Design machine learning (ML) solutions aligned with these identified opportunities, ensuring they meet business needs and enhance efficiency.
  • ML Solution Implementation: Develop and implement these ML solutions, working closely with cross-functional teams to ensure seamless integration and optimal performance.
  • Research and Innovation: Stay current on the latest advancements in AI, particularly within the financial services domain. Experiment with new techniques and technologies to drive innovation.

 

Skills and attributes for success

  • Collaboration and Communication: Ability to work effectively in a cross-functional team, clearly communicate technical concepts to non-technical stakeholders.
  • Technical Expertise: Strong foundation in machine learning and deep learning concepts and statistics.
  • Programming Proficiency: Excellent coding skills in Python, and experience with relevant data science libraries (e.g., Pandas, Scikit-learn, NumPy, PyTorch).
  • Problem-Solving Mindset: Analytical approach to problem-solving, ability to translate complex business requirements into AI solutions.The top performer should have the following qualities:

 

To qualify for the role, you must have

  • Passion and drive for high dimensional optimization, mathematics, statistics, and technology.
  • A strong belief that the future should be exciting and that humans should not focus their efforts on tedious and repetitive work but rather on work that truly brings value to the world.
  • Bachelor’s degree in computer science, Data Science, Mathematics, or a related field. Master's degree or PhD in a relevant field is a strong plus.
  • 2+ years of experience in developing and deploying AI/ML models. Experience in the financial services industry is preferred.
  • Experience in cloud-based AI development, preferably Azure.
  • Solid understanding of MLOps concepts and tools would be advantageous.

 

What we offer

  • 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.
Apply now Apply later
  • Share this job via
  • or

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

Tags: Azure Computer Science Deep Learning Machine Learning Mathematics ML models MLOps NumPy Pandas PhD Python PyTorch Research Scikit-learn Statistics

Perks/benefits: Career development

Region: Europe
Country: Luxembourg

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.