Data Science/ML

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