Senior MLOps Engineer - GenAI & Search Systems (Hybrid)

LexisNexis Risk Solutions; Ciudad de México; Hybrid; MXN 2,312,000 - 3,288,000; Full time

Benefits offered by this job

Private Medical

Dental and Vision Plan

Company matching Savings Fund

Life insurance

Learning & development resources

Employee Assistance Programme

Paid time off for charities

Job summary

Elsevier seeks an ML/LLM Engineer to bridge Data Science and Engineering, turning NLP/IR/GenAI models into secure, scalable services. Work on GenAI features, search/ranking quality, and knowledge-graph aware retrieval within a large scholarly corpus.

You will collaborate with Subject-Matter Experts, Product Managers and Responsible AI teams to deliver end-to-end ML solutions in a hybrid Mexico City setup.

Qualifications

• 3–5+ years in ML Engineering or MLOps delivering production ML or GenAI systems.
• Strong Python/Java/Scala engineering skills.
• Hands-on experience with cloud platforms (AWS, Azure, Google).
• Experience with search, vector/graph tech, and evaluation of LLMs.

Responsibilities

• Design and maintain ML/LLM pipelines and CI/CD for ML systems.
• Develop search, retrieval and recommendation services with governance and security.
• Collaborate with PMs, Data Scientists and Responsible AI teams to translate problems into scalable solutions.

Skills

Python

Java

Scala

ML & MLOps

NLP

Cloud platforms

Tools

Elasticsearch/OpenSearch/Solr

Neo4j

SageMaker

MLflow

Job description

Elsevier seeks an ML/LLM Engineer to bridge Data Science and Engineering, turning NLP/IR/GenAI models into secure, scalable services. Work on GenAI features, search/ranking quality, and knowledge-graph aware retrieval within a large scholarly corpus.

You will collaborate with Subject-Matter Experts, Product Managers and Responsible AI teams to deliver end-to-end ML solutions in a hybrid Mexico City setup.