Data Science/ML
Must-Have experience in
Python + SQL
ML model development
Cloud ML deployment
GenAI basic knowledge
Strong analytics capability
Good to Have :
GenAI Hands-on Experience
Experience with frameworks like:
LangChain
LangGraph
Semantic Kernel
DSPy / ADK
Industry Experience in Energy Domain
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
Location: Mexico
Work Model: Hybrid
(Consider respective LTM office address)
Hiring Model: FTE
Client: S&P; General Inx
Payrate: $90,000 MNX gross per month

📌 Data Science/Ml (México)
🏢 LTIMindtree
📍 México