Senior ML Engineer: Production Models & Data Pipelines

Sunnydata; México; Presencial; MXN 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

SunnyData is seeking a Machine Learning Engineer to lead complex data projects and deploy scalable ML solutions. You will work with cross-functional teams to derive actionable insights and influence business decisions.

Responsibilities include leading model development, deploying pipelines, and mentoring junior data scientists, while collaborating with data engineers to optimize cloud-based data architectures.

Formación

• 4+ years of experience in data science or ML roles.
• Proficient in Python and SQL with ML libraries in use.
• Strong foundation in statistics and experimental design.

Responsabilidades

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

Conocimientos

4+ years data science experience

Strong communication and leadership

Statistical modeling

Educación

Bachelor's or Master’s in CS/Statistics/Math

Herramientas

Python

SQL

PyTorch

TensorFlow

MLflow

SageMaker Pipelines

Airflow

Descripción del empleo

SunnyData is seeking a Machine Learning Engineer to lead complex data projects and deploy scalable ML solutions. You will work with cross-functional teams to derive actionable insights and influence business decisions.

Responsibilities include leading model development, deploying pipelines, and mentoring junior data scientists, while collaborating with data engineers to optimize cloud-based data architectures.