Senior ML Engineer - Scale ML & Data Pipelines

SunnyData; Mexico; On-site; PHP 5,611,000 - 7,481,000; Full time

Job summary

SunnyData is seeking a Machine Learning Engineer to lead complex data projects, develop predictive models, and deploy scalable ML solutions that power business outcomes. You will collaborate with data engineers, product, and analytics teams to turn challenges into data-driven decisions and influence key business choices.

You will mentor junior data scientists, communicate findings to executives, and contribute to best practices in model development and operationalization, with a strong emphasis

Qualifications

• 4+ years in data science or ML roles.
• Proficient in Python (pandas, scikit-learn, PyTorch or TensorFlow) and SQL.
• Strong background in statistics, A/B testing, and ML algorithms.
• Experience building and deploying models in production environments.
• Familiarity with MLOps practices and tools (MLflow, SageMaker Pipelines, Airflow).
• Excellent communication and leadership skills.

Responsibilities

• Lead design, development, and deployment of ML models.
• Work with large datasets to build predictive analytics pipelines.
• Collaborate with data engineers to optimize cloud-based data solutions.
• Translate business challenges into data-driven solutions using modeling.
• Automate data workflows and model deployment with cloud services and CI/CD.
• Mentor junior data scientists and share best practices.
• Communicate findings and strategic recommendations to stakeholders.

Skills

Experience in data science/ML

Python (Pandas, scikit-learn, PyTorch,

SQL

Statistics, A/B testing

Production ML deployment

MLOps tools (MLflow, SageMaker Pipeli

Communication & leadership

Education

Bachelor’s or Master’s in CS/Stats/Math

Tools

Spark

EMR

Docker

ECS

EKS

Airflow

MLflow

SageMaker Pipelines

Job description

SunnyData is seeking a Machine Learning Engineer to lead complex data projects, develop predictive models, and deploy scalable ML solutions that power business outcomes. You will collaborate with data engineers, product, and analytics teams to turn challenges into data-driven decisions and influence key business choices.

You will mentor junior data scientists, communicate findings to executives, and contribute to best practices in model development and operationalization, with a strong emphasis