
Senior Advanced AI Engineer
1 week ago
Advanced AI Engineering Leader Position
OverviewThe data and analytics team at Pearson is focused on developing and deploying cutting-edge AI solutions that drive business impact. As an advanced AI engineering leader, you will be responsible for leading the development of large-scale GPU and cloud environments, designing scalable architectures, and creating high-performance machine learning pipelines.
You will work closely with cross-functional teams to design and deploy AI models and systems that meet customer needs. This includes collaborating with data scientists, software engineers, and product managers to ensure that our solutions are technically robust and scientifically validated.
Key responsibilities include managing a team of senior engineers, providing technical leadership and mentorship, and ensuring that code quality and standards are maintained through an agile delivery model.
Additionally, you will oversee the consumption of ML models, APIs, and data outputs by other teams and organizations, and research and apply the latest AI techniques and technologies to develop innovative solutions.
- Manage a team of senior engineers and provide technical leadership, mentorship, and inspiration
- Collaborate with cross-functional teams to design and deploy AI models and systems
- Lead the development of large-scale GPU and cloud environments, scalable architectures, and high-performance machine learning pipelines
- Oversee the consumption of ML models, APIs, and data outputs by other teams and organizations
- Research and apply the latest AI techniques and technologies to develop innovative solutions
To be successful in this role, you will need:
- BS, MS, or PhD in Computer Science, Software Engineering, or related field
- 2+ years in Engineering Lead or Management role with at least 2 direct reports
- 7+ years of experience in the field of AI, Data Engineering, and/or Data Science
- Exceptional leadership skills, problem-solving skills, strategic thinking, and communication skills
- Strong design skills in modern cloud-based architectures
- Expertise in at least one area of AI, such as Natural Language Processing or recommender systems
- Strong skills in Python, Object Oriented design, and architecture patterns such as DDD
Our technology stack includes Python, PyTorch, Terraform, Databricks, Kubernetes, and AWS.
About UsWe are committed to creating an inclusive environment for all employees and strive to add life to a lifetime of learning.
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