2 months ago
Remote, Mexico or Mexico City, MexicoMid Level / Senior
Base Salary
$115k - $192k/yr
Responsibilities
- Automate and orchestrate machine learning workflows across AWS, Azure, Databricks, and foundation model APIs.
- Maintain model registries and artifact stores for reproducibility and governance.
- Develop CI/CD for ML, including data validation, model testing, and deployment automation.
- Build and manage custom SageMaker pipelines for recommendation systems.
- Implement RAG and generative AI engineering components such as query interpretation, chunking, embeddings, hybrid retrieval, semantic search, prompt libraries, guardrails, and structured outputs.
- Design ML pipelines using Elasticsearch, OpenSearch, Solr, vector databases, and graph databases.
- Build offline information retrieval, LLM quality, and A/B testing evaluation pipelines.
- Optimize infrastructure costs through monitoring, scaling, and efficient resource utilization.
- Collaborate with subject-matter experts, product managers, data scientists, Responsible AI experts, and operations engineers.
Requirements
- 3–5+ years of experience in ML engineering, MLOps platforms, or shipping ML, search, or generative AI systems to production.
- Strong Python, Java, and/or Scala engineering skills.
- Experience with statistical analysis, machine learning theory, and natural language processing.
- Hands-on experience with major cloud platforms, including AWS, Azure, and/or Google Cloud.
- Experience with search, vector, and graph technologies such as Elasticsearch, OpenSearch, Solr, and Neo4j.
- Experience evaluating large language models.
- Background in scholarly publishing workflows, bibliometrics, or citation graphs.
- Understanding of the data science lifecycle, including feature engineering, model training, and evaluation metrics.
- Familiarity with PyTorch, TensorFlow, PySpark, and large-scale data processing systems such as Spark.
Benefits
- Hybrid work arrangement in Mexico City, Reforma, with remote flexibility and regular in-person collaboration.
- Flexible working hours.
- Private medical, dental, and vision coverage for employees and eligible dependents.
- Savings fund with company matching contributions.
- Comprehensive life insurance.
- Grocery voucher.
- Vacation bonus based on vacation days taken.
- Minor medical expenses discount card.
- Learning and development resources.
- Employee Assistance Programme.
- Service milestone awards.
- Time off to support charitable causes.
- Shared parental leave, study assistance, and sabbaticals.
Tech Stack
Categories
About Elsevier
Elsevier builds scientific and medical information products and analytics platforms for researchers, clinicians, and educators. Its portfolio includes journals and databases such as The Lancet, Cell, ScienceDirect, Scopus, and ClinicalKey, sold primarily via institutional subscriptions, licensing, and open-access publishing fees. Founded in 1880 and headquartered in Amsterdam, Elsevier operates as a business of RELX, serving universities, hospitals, corporations, and government research agencies worldwide.