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; Integral Inx

Payrate: $90,000 MNX gross per month

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