AI Engineer

Pearson Education - Hoboken, NJ

Full-time - Entry Level

Remote - Hoboken, NJ

10,001+ employees

Publishing Industries

About the position

As an AI Engineer at Pearson, you will work within the Workforce Skills division, focusing on developing and implementing AI systems that enhance learning experiences. Reporting to the Lead Engineer, you will collaborate with AI and Backend Engineers to tackle technical challenges and contribute to the product roadmap, which includes building scalable AI backends and RESTful APIs for machine learning models.

Responsibilities

• Build RESTful APIs and micro-services for compute-heavy and data-intensive Machine Learning models.
• Design and build highly scalable AI backends using Python, AWS, MongoDB, and Postgres.
• Support the consumption of Faethm's APIs and data outputs by other teams and organizations.
• Drive code quality by facilitating code reviews within the team and ensuring adherence to engineering practices related to testing, security, and monitoring.
• Work closely with data scientists and product managers to understand customer and business needs to build the right features.

Requirements

• BS, MS, or PhD in Computer Science, Software Engineering, or equivalent experience.
• 0-2 years of experience in a software engineering role.
• Practical experience in Python, including at least one web application framework like FastAPI, Django, or Flask.
• Knowledge of SQL and/or NoSQL database technologies.
• Familiarity with micro-services and containerization.
• Understanding of distributed systems and scalability.
• Understanding of Artificial Intelligence, Machine Learning, and Big Data Concepts.
• Interest in Natural Language Processing, Embeddings, Large Language Models, and Recommendation Systems.

Nice-to-haves

• Experience with cloud services, particularly AWS.
• Familiarity with data analytics tools and frameworks like Databricks and Kubernetes.
• Knowledge of Terraform for infrastructure as code.

Benefits

• Hybrid/Remote work options
• Professional development opportunities
• Inclusive workplace culture
• Diversity and inclusion initiatives