Job Description

Responsibilities

Drive business decisions based on insights obtained from data

Apply strong problemsolving 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 nontechnical stakeholders

Work comfortably in a dynamic researchoriented team with multiple parallel projects

Design build and deploy robust machine learning and generative AI solutions on

hyperscale cloud platforms eg 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

SP Global Commodity Insights

1401 Enclave Pkwy 200 Houston TX 77077 United States

2

Experience with scientific scripting languages eg Python R Matlab

Experience accessing and manipulating data in SQL database environments

Demonstrated experience deploying realworld machine learning solutions on hyperscale

cloud platforms eg AWS Azure GCP Databricks

Familiarity with foundational concepts of Generative AI eg LLMs diffusion models

transformers and relevant frameworks

Excellent communication and presentation skills able to effectively communicate with

management engineering teams clients and other stakeholders

Preferred Qualifications

Recent work or internship experience in an advanced data analytics or ML engineering

role

Experience with objectoriented programming eg Python CC 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 eg MLflow Kubeflow Data Version

Control

Handson experience with GenAI frameworks eg langchain langgraph adk semantic

kernel dspy

Proven experience in developing and deploying GenAI solutions