AI Engineer

About the Role EY GDS is actively recruiting an accomplished AI Engineer to join our innovation-driven team. We are looking for an expert with rich experience in deploying machine learning models and using Azure IA services. The successful candidate will work closely with data science and data analysts/engineers in a multi-disciplinary team. What You'll Do

• Design, develop, and deploy machine learning models addressing our business needs.
• Utilize Cloud based AI services (Azure, GCP, AWS, Databricks) and Gen AI to develop intelligent AI solutions and GenAI Agents.
• Build AI applications suitable for both on-premises and cloud environments.
• Streamline efficient data pipelines for data ingestion, processing, and the deployment of production models.
• Collaborate with Data Scientists to effectively transform prototypes into scalable software solutions.
• Work with Data Analysts and Data Engineers to ensure optimal data use and efficient resource allocation.
• Stay on top of the latest AI technologies and implement them to continually improve our solutions. What We're Looking For
• A minimum of 3 years of experience as an AI or Machine Learning Engineer or similar role.
• Proven experience deploying machine learning models and managing data science pipelines.
• Hands-on experience with Cloud AI services and Gen AI (Azure, AWS, Databricks, GCP).
• A track record of developing, implementing, and maintaining AI solutions in a business context.
• Proven experience working within a multidisciplinary team of Data Scientists, Analysts, and Data Engineers.
• A bachelor's or master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Strong proficiency in Python, with libraries like Numpy, Scikit-learn, TensorFlow, or PyTorch.
• Demonstrable understanding of machine learning algorithms, principles, and their real-world application.
• Understanding of data structures, data modeling and software architecture.
• Soft Skills: Excellent communication skills, a consulting mindset with the capacity and enthusiasm to learn and implement new technologies, resilience, familiarity with agile/scrum and SDLC principles, ability to communicate complex AI concepts to non-tech business leaders, and ongoing curiosity about AI/ML trends. Nice to Have
• Experience deploying Gen AI solutions and working on multi-disciplinary AI projects is a plus. Compensation & Benefits
• Competitive salary
• Opportunities to work with cutting-edge AI technologies and a supportive, innovation-driven environment.