About our team: elsevier is a global information analytics company that supports institutions and professionals in advancing science, healthcare, and performance for the benefit of humanity. we serve research, academic, and clinical communities by applying technology and analytics to high-quality content. our solutions combine extensive scientific, technical, and medical resources with powerful analytics and technologies. we empower professionals in r&d;, engineering, science, and commercial sectors to innovate and bring ideas to life. about the role: join our team to support the post-deployment operations of data pipelines, machine learning workflows, and product integrations. this entry-level role is ideal for individuals looking to grow their skills in data infrastructure and ai technologies. key responsibilities: monitor and maintain data pipelines using tools such as airflow and dbt. assist in resolving data integration issues across internal systems and external apis. support the setup and operation of experiments involving large language models (llms), including prompt evaluation and fine-tuning. document standard procedures and recurring issues to support knowledge sharing. collaborate with cross-functional teams including data engineers, ml researchers, and product teams. escalate complex technical challenges to senior team members for resolution. qualifications: bs in computer science, engineering or equivalent practical experience 3+ years of experience in similar roles basic understanding of sql and data transformation tools like dbt....
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