AI Engineer

Join our Data and Analytics Consulting team – help to transform businesses through the power of people, technology, and innovation.

The opportunity 

When you join as AI Engineer, you’ll do more than just advise businesses, you’ll collaborate with key decision-makers to help them make better choices. Our team is dedicated to leverage business expertise and cutting-edge technology to solve complex challenges facing our clients. We are currently expanding our capabilities in AI (incl. Generative AI) technologies and are looking for a skilled AI Engineer to join our dynamic team, which works with both public sector institutions and major private companies in the Baltics and beyond.

• Use your knowledge in AI, Machine Learning and Advanced Analytics technologies and solutions to advise our clients how to best solve their business challenges.
• Implement AI solutions using various technologies that address client-specific needs and add tangible value.
• Understanding the latest AI trends and technologies to ensure EY remains at the forefront of innovation.
• Provide expertise in Machine Learning, Natural Language Processing, Computer Vision, and other AI disciplines.
• Develop your professional knowledge and experience. 

Attributes to thrive in the role

• Bachelor's degree in Computer Science, Engineering, Statistics, or a related field with coursework or projects in AI or Machine Learning.
• Relevant work experience, specifically working with AI / Machine Learning technologies.
• Demonstrated interest and passion for AI, as evidenced by personal projects, internships, or academic research.
• Proven experience in developing and implementing AI solutions in a business environment.
• Strong programming skills in Python and familiarity with AI frameworks and libraries such as Pandas, NumPy, PyTorch, Scikit-Learn, Streamlit, SciPy and/or similar.
• Knowledge of programming principles and best practices related to software development, AI engineering and MLOps.
• Familiarity with building AI solutions using cloud (Microsoft Azure, AWS or GCP).
• Strong analytical and problem-solving skills, with the ability to apply statistical techniques and machine learning algorithms effectively.
• Strong communication and collaboration skills to work effectively in a team-oriented environment.

Our promise to our people is an exceptional EY experience:

• Continuous learning & fast growth. Wide range of on- and off-the-job learning opportunities, and certification tailored to your individual career path. This includes EY Tech MBA, EY Masters in Sustainability and Business Analytics, etc.
• International experience. Working in an international environment with projects, events & initiatives, as well as a bright and energetic team.
• Comprehensive compensation and benefits. Regular salary review, additional bonuses, paid days off for your studies & development, volunteering activities, and tenure-based leave. Additional health insurance that covers various medical services, and travel insurance.
• Flexibility & wellbeing. We'll provide the tools, support, and flexibility, so you can make a meaningful impact, in your own way – a hybrid work model, flexible working hours, and part-time options.
• 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.