Posted:
2/19/2026, 12:57:58 AM
Experience Level(s):
Junior ⋅ Mid Level
Field(s):
AI & Machine Learning ⋅ Data & Analytics
Our global team supports educational technology products and electronic health record (EHR) platforms that help students learn digital charting and prepare for documentation in modern clinical environments. We work with a stable, mature product that we continuously refine and maintain with care.
Our culture is built on trust, respect, collaboration, agility, and quality. We value clear communication, shared ownership, and a learning mindset as we support products used by learners around the world.
This is an entry‑level / junior role designed for someone early in their career who is eager to gain hands‑on experience with modern data infrastructure and AI‑enabled workflows. The role supports post‑deployment activities related to data pipelines, integrations, and experimentation environments used by technology and product development teams.
You will work closely with data engineers, machine learning researchers, and product teams to help ensure systems run smoothly, issues are documented and resolved, and operational processes continue to improve. Guidance and mentorship are provided, with opportunities to grow technical depth over time. Supports post-deployment activities related to data pipelines, machine learning workflows, and product integrations. This entry-level role focuses on assisting with the maintenance and troubleshooting of modern data stack tools and AI research infrastructure.
Key Responsibilities:
Assist in monitoring and maintaining data pipelines using tools like Airflow and DBT.
Help troubleshoot and resolve data integration issues across internal systems and external APIs.
Support the setup and operation of LLM-related experiments, including prompt evaluation and fine-tuning workflows.
Document standard procedures, pipeline behaviors, and recurring issues.
Collaborate with data engineers, ML researchers, and product teams to ensure smooth post-deployment operations.
Escalate complex technical challenges to senior team members.
Qualifications:
Familiarity with SQL, DBT, or similar data transformation tools.
Exposure to data orchestration frameworks like Airflow or Prefect.
Interest in large language models and experience with tools like OpenAI, Hugging Face, Ollama, or LangChain is a plus.
Strong problem-solving and collaboration skills.
Eagerness to learn and grow in a fast-moving, research-informed environment.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.
Please read our Candidate Privacy Policy.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
Website: https://elsevier.com/
Headquarter Location: Amsterdam, Noord-Holland, The Netherlands
Employee Count: 5001-10000
Year Founded: 1880
IPO Status: Private
Last Funding Type: Private Equity
Industries: Content ⋅ Content Discovery ⋅ Delivery ⋅ Health Care ⋅ Information Services ⋅ Information Technology ⋅ Publishing