Mlgenai Engineer

Osttra; Xico; Híbrido; MXN 1,284,000 - 1,652,000; Jornada completa

Descripción de la vacante

A global data solutions provider is seeking a motivated ML/GenAI Engineer to transform data into actionable business insights. The ideal candidate will deploy machine learning and generative AI solutions while collaborating with various teams. Key qualifications include an advanced degree in a quantitative field and experience in data analysis and cloud platforms. This role offers the chance to work in a dynamic environment focused on innovative solutions in the energy industry.

Formación

• Experience with scientific scripting languages (e.g., Python, R, Matlab).
• Demonstrated experience deploying real-world machine learning solutions.
• Excellent English communication skills.

Responsabilidades

• Drive business decisions based on insights from data.
• Select features and optimize machine learning techniques.
• Implement various analytical methodologies related to the energy industry.

Conocimientos

Python

Machine Learning

Data Analysis

Deep Learning

SQL

Generative AI

Educación

Advanced degree in a quantitative field

Herramientas

TensorFlow

PyTorch

AWS

Azure

GCP

Descripción del empleo

About the Role

Grade Level (for internal use): 09

S&P Global Commodity Insights

The Role

ML / GenAI Engineer

The Team

S&P Global is looking for a motivated and goal-oriented ML / GenAI Engineer to join our Data Science and Modelling team. The ideal candidate will thrive in a dynamic work environment collaborating with a wide range of stakeholders and functional teams.

The Impact

As an ML Engineer / GenAI Engineer at S&P Global you will apply your advanced analytical and engineering skills to transform our vast datasets into tangible business value. You will be instrumental in the deployment of machine learning and generative AI solutions collaborating on product development and communicating your findings to drive business decisions and serve external clients.

Responsibilities

• Drive business decisions based on insights obtained from data.
• Apply strong problem‑solving skills with an emphasis on product development.
• Select features, build and optimize machine learning techniques to improve the accuracy of new products.
• Analyze data for trends and patterns understanding insights with an unbiased mindset.
• Implement various analytical methodologies to help solve problems related to the energy industry.
• Close collaboration with software developers and machine learning engineers in the implementation of analytical models into production or commercialization.
• Develop and utilize algorithms to perform error analysis to improve model uniformity and accuracy.
• Communicate findings to both technical and non‑technical stakeholders.
• Work comfortably in a dynamic research‑oriented team with multiple parallel projects.
• Design, build and deploy robust machine learning and generative AI solutions on hyperscale cloud platforms (e.g. AWS, Azure, GCP, Databricks).
• Implement MLOps practices to ensure scalable, reliable and maintainable ML workflows.
• Develop and integrate GenAI solutions demonstrating familiarity with fundamental concepts, models and toolkits.

Required Qualifications

• Advanced degree in a highly quantitative field: Computer Science, Machine Learning, Geology, Statistics, Mathematics, etc.
• Experience with scientific scripting languages (e.g. Python, R, Matlab).
• Experience accessing and manipulating data in SQL database environments.
• Demonstrated experience deploying real‑world machine learning solutions on hyperscale cloud platforms (e.g. AWS, Azure, GCP, Databricks).
• Familiarity with foundational concepts of Generative AI (e.g. LLMs, diffusion models, transformers) and relevant frameworks.
• Excellent English communication and presentation skills, able to effectively communicate with management, engineering teams, clients and other stakeholders.

Preferred Qualifications

• Recent work 0‑3 years or internship experience in an advanced data analytics or ML engineering role.
• Experience with object‑oriented programming (e.g. Python, C#, C, Java).
• Knowledge of deep learning and related toolkits: TensorFlow, PyTorch, Keras, etc.
• Knowledge of the energy industry, understanding different challenges and potential solutions.
• Experience with MLOps tools and practices (e.g. MLflow, Kubeflow, Data Version Control).
• Hands‑on experience with GenAI frameworks (e.g. LangChain, LangGraph, adk, Semantic Kernel, dspy).
• Proven experience in developing and deploying GenAI solutions.

Location

Mexico City, Mexico or Bogota, Colombia.

About S&P Global Commodity Insights

At S&P Global Commodity Insights our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long‑term sustainable value. We are a trusted connector that brings together thought leaders, market participants, governments and regulators to co‑create solutions that lead to progress. S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity, and automotive markets. With every one of our offerings we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today.

Equal Opportunity Employer

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.