# Senior Machine Learning Engineer

**Company**: S&P Global Commodity Insights
**Location**: Mexico City
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://spgi.wd5.myworkdayjobs.com/en-US/SPGI_Careers/job/Mexico-City-MX/Senior-ML-Engineer_332808-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/senior-machine-learning-engineer-c48631be-3bd/

## Description

S&P Global Commodity Insights is looking for an experienced Machine Learning Engineer to join our Data Science & Modelling team.

In this role, you will design, build and productionize machine learning and AI solutions using S&P Global's extensive data and domain expertise.

**Responsibilities:**

- Design, develop and productionize scalable machine learning and AI solutions for complex business and modelling problems.

- Build robust data and ML pipelines that support the complete lifecycle from data preparation and feature engineering through training, deployment, evaluation and monitoring.

- Develop high-quality, reusable Python software and services that integrate ML capabilities into production applications and analytical platforms.

- Work with large and complex structured and unstructured datasets to improve the quality, accuracy and intelligence of our products and modelling capabilities.

- Apply modern ML techniques, and where appropriate Generative AI, LLMs and agent-based approaches, to solve business and domain problems.

- Establish and apply strong MLOps and software engineering practices, including automated testing, CI/CD, versioning, observability and reproducibility.

- Build solutions using modern cloud and distributed-computing platforms.

- Evaluate model quality and system performance using appropriate quantitative metrics, validation frameworks and monitoring.

- Collaborate closely with data scientists, modelers, data engineers, product teams and energy-domain experts to translate business and modelling requirements into robust technical solutions.

- Investigate emerging ML and AI technologies and identify practical opportunities to apply them within Data Science & Modelling.

- Contribute to engineering standards, architecture decisions, code reviews and technical mentoring across the team.

**Requirements:**

- 7+ years of professional software development or engineering experience, with strong proficiency in Python.

- Demonstrated experience designing and implementing production-grade machine learning or advanced analytical systems.

- Strong knowledge of software engineering fundamentals, including object-oriented design, modular architecture, testing, clean-code practices and design patterns.

- Strong experience working with SQL and large-scale data platforms.

- Experience building scalable data processing and ML pipelines using technologies such as Apache Spark / PySpark and Databricks or comparable platforms.

- Experience deploying and operating solutions in a cloud environment such as AWS.

- Understanding of the ML lifecycle, including training, validation, deployment, monitoring and model/version management.

- Experience with modern engineering and DevOps practices including Git, automated testing, CI/CD and containerization.

- Ability to design reliable, performant and maintainable systems handling large or complex datasets.

- Strong analytical and problem-solving skills.

- Ability to communicate effectively with both technical and non-technical stakeholders and work successfully in cross-functional Agile teams.

- Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, Data Science or a related quantitative discipline, or equivalent practical experience.

**Benefits:**

- Health & Wellness: Health care coverage designed for the mind and body.

- Flexible Downtime: Generous time off helps keep you energized for your time on.

- Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.

- Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.

- Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.

- Beyond the Basics: From retail discounts to referral incentive awards,small perks can make a big difference.

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## Skills

### Required
- Python
- Machine Learning
- Software Engineering
- SQL
- Apache Spark
- PySpark
- Databricks
- AWS
- Git
- DevOps

### Nice to have
- Energy
- Oil & Gas
- Commodities
- Financial/Market Data
- Generative AI
- LLM
- RAG
- Agentic AI
- MLflow
- Airflow
- Model Evaluation
- Observability
- Production Monitoring
- PyTorch
- TensorFlow
- Time-Series Forecasting
- Optimization
- Simulation

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Source: [Apply at spgi.wd5.myworkdayjobs.com](https://spgi.wd5.myworkdayjobs.com/en-US/SPGI_Careers/job/Mexico-City-MX/Senior-ML-Engineer_332808-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)