**About the Role**:
**Grade Level (for internal use)**: 09
S&P; Global Commodity Insights
**The role**: ML/GenAI Engineer
**The Team**:
**The Impact**:
**Responsibilities**:
Drive business decisions based on insights obtained from data.
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’re a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P; Global Commodity Insights’ coverage includes oil and gas, power, chemicals, metals, agriculture and shipping.




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.
What’s In It For You?
**Our Purpose**:
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P; Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People**:
We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
**Our Values**:
Integrity, Discovery, Partnership
At S&P; Global, we focus on Powering Integral Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
**Benefits**:
We take care of you, so you can take care of busi

📌 Ml/genai Engineer (Ciudad Juárez)
🏢 S&P Global
📍 Ciudad Juárez