Staff AI Engineer: Expert in Large Language Models
2 tygodni temu
About the Role
We are seeking a highly skilled Staff AI Engineer to join our team at Pearson, a leading education company.
As a Staff AI Engineer, you will be responsible for designing, building, and continuously improving customer-facing Intelligent Learning Capabilities across Pearson.
You will work closely with our team to deliver high-quality software solutions using Large Language Models and generative AI technologies.
About You
- Expertise in leveraging Large Language Models (LLMs) and generative AI technologies for system development.
- Advanced proficiency in Python, with experience in additional languages beneficial.
- Solid understanding of software engineering best practices, including code review, multi-stage testing, and CI/CD processes.
- Demonstrated experience in data management and AI/ML tools, including PyTorch, ML Flow, or huggingface, Jupyter Notebook, DVC, Weights & Biases.
- Knowledgeable in scalable architectures using Docker and Kubernetes, and cloud platforms, particularly Azure and AWS.
- Experience in tech leadership.
- Proficient with Linux/Unix environments.
- Capable of working effectively in a diverse, remote, and asynchronous team environment.
- Working proficiency in both English and Polish.
- Strong commitment to continuous learning and professional development.
Your Daily Work
- Research and develop systems for e-learning platforms and mobile apps within Pearson.
- Collaborate on occasional experimental projects and proof-of-concept work.
- Design and develop microservices architecture for backend services.
- Ensure high-quality code through peer reviews, CI/CD enhancements, and automated testing.
About Pearson
Pearson is a global leader in education, committed to delivering high-quality learning experiences to people everywhere.
We are on a journey to be 100% digital, leveraging technology to meet the changing needs of the global population.
At Pearson, we value the power of an inclusive culture and a strong sense of belonging.
We promote a culture where differences are embraced, opportunities are accessible, consideration and respect are the norm, and all individuals are supported in reaching their full potential.
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