Pearson
AI Engineer
Edtech.com's Summary
- Design, implement, and maintain backend components and scalable services, including AI integration and microservices deployment.
- Collaborate with product owners and cross-functional teams to define objectives, requirements, and timelines.
- Lead projects, advocate backend best practices, and support innovation initiatives.
- Operationalize AI models with data science teams to ensure system reliability and scalability.
- Maintain technical documentation and mentor junior engineers, supporting onboarding and professional growth.
- Oversee the software development lifecycle following DevOps, Clean Code, and Domain-Driven Design practices.
- Ensure security and compliance by working closely with relevant teams.
- Required skills: programming in Python and GoLang; familiarity with AI/ML technologies like TensorFlow, PyTorch, OpenAI Gym; cloud environments such as AWS, GCP, or Azure; CI/CD and scalable development tools including Docker and Kubernetes.
- Qualifications include a Bachelor's or Master's degree in Computer Science, Software Engineering, or related field with proven software engineering experience.
- Experience working in Agile teams, ability to communicate technical concepts to non-technical stakeholders, and proficiency in English are essential.
AI Engineer Full Description
ROLE: Advanced Specialist, AI Engineer
Role aim
Are you passionate about AI and Education? We are thrilled to announce a great opportunity to join our international AI organization inside the English Language Learning division as a senior AI Engineer to work on one of the most critical products in the company.
In Pearson English Language Learning we aspire to become the world's leading destination to learn, assess and improve English language skills. Our main focus is to deliver our promise to committed learners from around the world, who want to reach their full potential through learning English.
Role profile
This position requires an experienced and fully competent professional with a broad set of data engineering and machine learning engineering skills, and possibly also basic leadership skills.
Estimated time spent on various task types:
New features: 50-70%
Documentation: 15%
Meetings, incl. supervision: 10-30%
Maintenance: 5%
Responsibilities
Partner with product owners to design, implement, and maintain backend components for digital products.
Collaborate in cross-functional teams to define objectives, requirements, and timelines.
Lead projects and advocate for backend best practices, supporting strategic and innovation initiatives.
Architect scalable backend services and APIs, including AI integration and deployment of microservices.
Operationalize AI models with data science teams and ensure system reliability and scalability.
Maintain technical documentation and mentor junior engineers.
Champion continuous improvement, innovation, and knowledge sharing within the team.
Mentor and coach junior engineers, supporting their technical growth and onboarding.
Oversee the software development lifecycle, adhering to best practices like DevOps, Clean Code, and DDD.
Ensure security and compliance, working closely with relevant teams.
Stay updated on industry trends and recommend process or technical improvements.
Most desirable qualifications:
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
Proven experience in software engineering principles, development processes, technologies, extreme development methodologies and practices and industry trends for Development and QA.
Hands-on experience with programming languages such as Python, GoLang
Some experience with at least one of the following AI/ML technologies (Tensorflow, PyTorch, OpenAI Gym)
Proficiency in at least one of the modern cloud environments (AWS, GCP, Azure)
Proficiency in best practices for software engineering (code review, multi-stage testing, CI/CD)
Some experience with scalable development (Docker, Kubernetes)
Strong problem-solving and analytical skills, with a keen attention to detail.
Some experience with data processing (building pipelines, data versioning)
Some experience with applied AI/ML theory (e.g. neural networks, reinforcement learning, statistical modelling)
Some experience with AI/ML tools (Jupyter Notebook, DVC, Neptune.ai, Weights & Biases)
Working experience in Agile practices, product and project management principles.
A passion for staying up to date with emerging technologies and industry trends.
Commitment to fostering an inclusive and diverse work environment.
Excellent communication skills, with the ability to effectively collaborate and build relationships with stakeholders at all levels. Able to communicate technical concepts to non-technical individuals.
Experience with working in a diverse, remote, asynchronous team
Proficiency in written and spoken English
Desire for continuous learning
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Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing TalentExperienceGlobalTeam@grp.pearson.com.
Job:
Engineering
Job Family: TECHNOLOGY
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