About this role
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 Global Inx
Payrate: $90,000 MNX gross per month
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