Elsevier

Senior MLOps Engineer responsible for turning NLP, information retrieval, and GenAI models into secure, reliable, and scalable production services. The role combines ML engineering, search and recommendation systems, cloud platforms, and LLM evaluation across Elsevier’s scholarly research products.

Build full-stack healthcare applications that bring evidence-based oncology guidance into clinical workflows. This role combines ReactJS front-end development with Java Spring Boot APIs and Microsoft SQL Server database engineering.

Build and ship production-grade agentic AI solutions, including RAG pipelines, tool use, and workflow integrations, within cross-functional innovation squads. This role turns internal AI experimentation into reusable capabilities that improve enterprise workflows and customer outcomes.

Join Elsevier’s Research Data Platform team as a Java/Python Software Engineer building data-harvesting and transformation systems that power research and health products. You will develop, debug, review, and process large datasets using modern data and cloud technologies.

Serve as the technical sales partner for Elsevier’s Academic Information Systems and Research Intelligence software, guiding customers from discovery and demonstrations through solution design, tender responses, and implementation handoff. This home-based role combines consultative selling, domain expertise, and strong software presentation skills.

Build scalable document-intelligence and agentic AI services that transform scientific manuscripts into structured, reusable knowledge for Elsevier’s publishing products. This hybrid Bangalore role combines software engineering, data engineering, and AI/LLM capabilities.

Build and enhance cloud-native applications that transform the scientific peer-review experience for researchers, reviewers, and editors. This senior engineering role combines full-stack development, cloud technologies, architectural contribution, and team mentoring.

Senior Software Engineer I responsible for designing and evolving scalable data platforms supporting Elsevier’s global sales and marketing analytics. The role combines Snowflake and dbt data engineering with technical leadership, mentoring, reliability improvements, and emerging AI-assisted development practices.