Design and build an agentic AI platform to manage renewable energy certificates and automate related workflows. Collaborate across teams to integrate the platform, optimize user onboarding, and iterate based on feedback and metrics.
About the role
- AI Engineer leading Artificial Intelligence and Machine Learning projects for EY-Parthenon. Collaborating with multidisciplinary teams to deliver impactful AI-driven solutions.
Responsibilities
- Deploy and productionize AI models into scalable environments.
- Integrate AI solutions with enterprise systems and workflows.
- Optimize model performance for speed, accuracy, and reliability.
- Implement security and compliance standards in AI deployments.
- Collaborate with MLOps and data engineering teams for seamless delivery.
Requirements
- A Bachelor’s or Master’s degree in Computer Engineering, Data Science, Artificial Intelligence, or a related field.
- +5 years of proven experience developing AI/ML solutions in corporate or consulting environments.
- Strong proficiency in Python, R, or Scala, and experience with frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- Hands-on experience with cloud platforms (Azure, AWS, or GCP) and MLOps best practices.
- Solid understanding of data architecture, APIs, and system integration.
- Excellent communication skills and a results-driven mindset.
- Fluent English (written and spoken).
Benefits
- Support, coaching and feedback from some of the most engaging colleagues around.
- Opportunities to develop new skills and progress your career.
- The freedom and flexibility to handle your role in a way that’s right for you.
- The exceptional EY experience. It’s yours to build.
Job title
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