Machine Learning Engineer - Production ML & Data Solutions

SunnyData; Argentina; Presencial; ARS 1.800.000 - 3.000.000; Jornada completa

Descripción de la vacante

SunnyData seeks a proficient Machine Learning Engineer to lead end-to-end ML projects, develop predictive models, and deploy scalable AI solutions. You will collaborate with data engineers, product, and analytics teams to transform business challenges into data-driven decisions.

The role requires 4+ years in data science or ML, strong Python/SQL, and experience deploying models in production in cloud environments. Excellent communication and leadership are valued.

Formación

• 4+ years of experience in data science or machine learning roles.
• Proficient in Python and SQL.
• Strong background in statistics, A/B testing, and ML algorithms.
• Experience deploying models in production environments.

Responsabilidades

• Lead the design, development, and deployment of machine learning models.
• Work with large, complex datasets to extract valuable insights and build predictive analytics pipelines.
• Collaborate with data engineers to architect and optimize cloud-based data solutions.
• Translate business challenges into data-driven solutions using statistical modeling and ML techniques.
• Automate data workflows and model deployment processes using cloud services and CI/CD tools.
• Mentor junior data scientists and contribute to best practices in model development and operationalization.
• Communicate findings and strategic recommendations to stakeholders and executive leadership.

Conocimientos

Python

SQL

Statistics

ML Algorithms

MLOps

Communication

Leadership

PyTorch/TensorFlow

Educación

Bachelor’s or Master’s in CS/Statistics

Herramientas

MLflow

SageMaker Pipelines

Airflow

Docker

Kubernetes

Spark

Descripción del empleo

SunnyData seeks a proficient Machine Learning Engineer to lead end-to-end ML projects, develop predictive models, and deploy scalable AI solutions. You will collaborate with data engineers, product, and analytics teams to transform business challenges into data-driven decisions.

The role requires 4+ years in data science or ML, strong Python/SQL, and experience deploying models in production in cloud environments. Excellent communication and leadership are valued.