Senior ML Scientist - NLP & GenAI for Scientific Discovery

Elsevier; Ciudad de México; Hybrid; MXN 1.759.000 - 2.931.000; Vollzeit

Benefits dieser Stelle

Private Medical

Dental & Vision plan

Savings Fund

Life Insurance

Grocery Voucher

Vacation Bonus

Learning Resources

Employee Assistance Program

Awards & Recognition

Charity Time Off

Zusammenfassung

Elsevier is hiring for a machine learning and NLP-focused role in Mexico City. You will design and build ML, NLP, and generative AI solutions that support scientific discovery, knowledge extraction, decision support, and intelligent content understanding.

You will work with large-scale scientific content and data, applying the right techniques to solve complex problems and deliver reliable, production-ready systems.

Qualifikationen

• Experience in data science, ML, AI, NLP, statistics or related quantitative area.
• Experience with frontier LLMs such as GPTs, Claude, Gemini; fine-tuning LLMs/SLMs.
• Strong Python skills and writing clean, maintainable code.
• Solid grasp of ML fundamentals: supervised/unsupervised learning, feature engineering, evaluation.
• Experience with large-scale text/content datasets.
• Familiarity with Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib.
• Ability to translate complex requirements into practical data-driven solutions; strong analytical skills.
• Clear communication and collaborative approach with stakeholders.

Aufgaben

• Design and build ML, NLP, and generative AI systems for discovery, extraction, decision support, and content understanding.
• Work with large-scale, heterogeneous data: publications, datasets, knowledge graphs, ontologies, metadata, and content across disciplines.
• Apply suitable techniques: classification, regression, clustering, ranking, feature engineering, DL, embeddings, LLMs, retrieval, generative AI.
• Develop capabilities for semantic search, information retrieval, entity extraction, content classification, recommendation, ranking, summarization, QA, and evidence-grounded generation.
• Build, evaluate, fine-tune, prompt, and deploy models into production, ensuring quality and user value.
• Write clean, tested Python code and reusable data science components; scalable pipelines for preprocessing, inference, experimentation, monitoring.
• Support deployment, monitoring, drift detection, retraining, and ongoing optimization of DS systems.
• Collaborate with engineering, product, UX, analytics, research, and domain experts; communicate model behavior and insights clearly.

Kenntnisse

Machine Learning

NLP

Generative AI

Python

Data Science

Statistics

Analytical Thinking

Communication

Collaboration

Problem Solving

Tools

Pandas

NumPy

SciPy

Scikit-learn

PyTorch

TensorFlow

Matplotlib

Jobbeschreibung

Elsevier is hiring for a machine learning and NLP-focused role in Mexico City. You will design and build ML, NLP, and generative AI solutions that support scientific discovery, knowledge extraction, decision support, and intelligent content understanding.

You will work with large-scale scientific content and data, applying the right techniques to solve complex problems and deliver reliable, production-ready systems.