Senior MLOps Engineer, USA-Philadelphia or Mexico-Mexico City

Are you passionate about building scalable AI and machine learning systems that power world-leading research and healthcare platforms?

Do you enjoy turning cutting‐edge NLP, search, recommendation, and Generative AI innovations into reliable, secure, and production‐ready solutions that create real‐world impact?

About our Team

Our global team support products education electronic health records that introduce students to digital charting and prepare them to document care in today's modern clinical environment. We have a very stable product that we've worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality.

About the Role

Join the team that powers Elsevier's research platforms—Scopus/Scopus AI, Science Direct/Science Direct AI, and journal submission & peer review workflows. You will bridge Data Science and Engineering to turn experimental NLP/IR/Gen AI models into secure, reliable, and scalable services. Our systems operate over one of the world's largest scholarly corpora, so you'll work on AI‐based features (Gen AI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and editorial confidentiality.

Key Responsibilities ML & LLM Engineering, Search and Recommendation Engines Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as Open AI) Maintain and version model registries and artifact stores to ensure reproducibility and governance Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment. Implement ML Engineering solutions using popular MLOps platforms such as AWS Sage Maker, MLflow, Azure ML. End-to-end custom Sage Maker pipelines for recommendation systems.





or citation graphs A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics Familiarity with ML frameworks, e.g., Py Torch, Tensor Flow, Py Spark Experience with large scale data processing systems, e.g., Spark Work in a Way That Works for You

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long‐term goals.

Working Pattern

Working versátil hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

About the Business

A integral leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

U. S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates.

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.

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? Senior mlops engineer (Baja California)
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📌 Senior Mlops Engineer (Baja California)
🏢 Importante empresa
📍 Baja California