Programacion jobs in Mexico

As a member of the Data Transformation - Cognitive Engineering team you will build and deploy ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval, and data sourcing solutions for S&P Global Market Intelligence and our clients.

10

S&P Enterprise Data Organization

Job Description

• Design, develop and deploy ML-powered products and pipelines.
• Mentor a team of Senior and Junior data scientists / ML Engineers in delivering large-scale projects.
• Play a central role in all stages of the AI product development life cycle.
• Design Machine Learning systems and model scaling strategies.
• Research and implement ML and deep learning algorithms for production.
• Run necessary ML tests and benchmarks for model validation.
• Fine‑tune, retrain and scale existing model deployments.
• Extend existing ML libraries and write packages for reproducing components.
• Partner with business leaders, domain experts and end‑users to gain business and data understanding and collect requirements.
• Interpret results and present them to business leaders.
• Manage production pipelines for enterprise-scale projects.
• Perform code reviews and optimization for your projects and team.
• Lead and mentor by example, including project scrums.

• Proven track record as a senior / lead ML engineer.
• Expert proficiency in Python (NumPy, Pandas, spaCy, scikit‑learn, PyTorch/TF2, HuggingFace, etc.).
• Excellent exposure to large-scale model deployment strategies and tools.
• Excellent knowledge of ML & deep learning domain.
• Solid exposure to information retrieval, web scraping and data extraction at scale.
• Exposure to R‑Shiny / Dash / Streamlit, SQL, Airflow, Redis, Celery, Flask / Django / FastAPI, Scrapy.
• Experience with state-of-the-art models related to NLP and expertise in text matching techniques including sentence transformers, word embeddings and similarity measures.
• Open to learning new technologies and programming languages as required.
• A Masters / PhD from a recognized institute in a relevant specialization.

• 5 years of relevant experience in ML Engineering.
• Prior substantial experience in the economics / financial industry.
• Prior work to show on GitHub, Kaggle, StackOverflow, etc.

Mexico City (2 days onsite)

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race / ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability please send an email to: [email protected] and your request will be forwarded to the appropriate person.