Details of the offer

Role : AI EngineerCompany : PearsonDivision : Workforce SkillsLocation : Hybrid / Remote Options - Sydney, New South Wales (Australia) OR Hoboken, New Jersey, (United States)Our Team : Workforce Skills – We provide upskilling and reskilling that ensures people can thrive in a digital, automated future.
Faethm is a SaaS platform that uses artificial intelligence to help prepare people for the future of work and was acquired by Pearson in 2021.
Workforce Skills is the newest division at Pearson with ambitious and exciting plans for growth.About the role : Reporting to our Lead Engineer, you will work alongside Faethm's AI and Backend Engineers to solve interesting technical challenges and implement our product roadmap.
To give you a sense of our work, we have designed and implemented systems like :large scale on-demand GPU clusters with Machine Learning / NLP pipelines to extract billions of data points from job ads within a few hoursdeep learning and LLM based learning content recommendation systemlibraries and APIs for bleeding edge transformer-based NLP model pipelineshigh-concurrency, low-latency analytics environment across 7 geographic regions to serve enterprise customers all over the worldAs a Backend Engineer in AI Systems, you'll be responsible for :Build RESTful APIs and micro-services for compute heavy and data intensive Machine Learning modelsDesign and build highly scalable AI backends using Python, AWS, MongoDB, and PostgresSupport the consumption of Faethm's APIs and data outputs by other teams and organisationsDrive code quality by facilitating code reviews within the team and ensuring that our engineering practices are followed in relation to testing, security and monitoringWork closely with data scientists and product managers to understand the needs of the customer and our business so that you can build the right featuresTo be successful in this role, you will ideally have :BS, MS, or PhD in Computer Science, Software Engineering, or equivalent experience0-2 years of experience in a software engineering rolePractical experience in Python, including at least one web application framework like FastAPI, Django, or FlaskKnowledge of SQL and / or NoSQL database technologiesFamiliarity with micro-services, and containerizationUnderstanding of distributed systems and scalabilityUnderstanding of Artificial Intelligence, Machine Learning, and Big Data ConceptsInterest in Natural Language Processing, Embeddings, Large Language Models, and Recommendation SystemsOur tech stack : Python, FastAPI, PyTorch, AWS, MongoDB, Postgres, Databricks, Kubernetes, TerraformOur purpose : At Pearson we 'add life to a lifetime of learning' so everyone can realise the life they imagine.
We do this by creating vibrant and enriching learning experiences designed for real-life impact.Our company : Pearson was founded in 1844 and has been built on our ability to grow with and adapt to a constantly evolving market.
Our 20,000+ employees are dedicated to creating the high-quality, digital-first, accessible and sustainable resources for lifelong learning.Diversity : At Pearson we value the power of an inclusive culture and a strong sense of belonging.
We promote a culture where differences are embraced as strengths and opportunities are equal and accessible.If you are as passionate as we are about changing lives through learning, then help us to learn more about you and why you want to work with Pearson.
Click 'Apply Now' to create your application online.
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Nominal Salary: To be agreed

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