Machine Learning Engineer
Palmetto Clean TechMexico City, Mexico City
Full Time
Posted February 5, 2026
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Job Description
A Machine Learning Engineer responsible for developing, deploying, and maintaining predictive models to support Palmetto's clean energy initiatives, collaborating with data teams, and contributing to the company's MLOps platform.
Key Responsibilities
- Design, train, and evaluate high-impact machine learning models across various business domains
- Contribute to the creation and management of the core Machine Learning Platform and facilitate its adoption
- Collaborate with Data Scientists and Data Engineers to develop, validate, and deploy feature pipelines for models
- Implement practices for experimentation, validation, and performance analysis of models
- Build tools for monitoring model drift, performance, and bias within the MLOps platform
- Write clean, tested Python code for models and deployment logic
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related quantitative field or equivalent experience.
- 2-4 years of experience in machine learning or data science, focusing on building and deploying models.
- Deep expertise in Python and proficiency in SQL.
- Strong practice experience with statistical modeling toolkits such as PyTorch, XGBoost, Scikit-learn, TensorFlow, or VertexAI.
- Familiarity with containerization and CI/CD concepts and comfort using MLOps platform.
- Proven ability to understand business problems and think creatively about how machine learning might help solve them.
- Employment is contingent upon the successful completion of a background check.
Benefits & Perks
unlimited PTO
medical coverage
dental coverage
vision coverage
paid parental leave
retirement plans
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