Senior MLOps Engineer: Production ML Pipelines

Capgemini Engineering; Colombia; Presencial; COP 182.501.734 - 255.502.427; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Stable Employment

Learning & Development

Language Training

Health Coverage

Insurance Protection

Wellness Perks

Descripción de la vacante

Capgemini Engineering in Colombia is seeking a highly capable Senior MLOps Engineer to support revenue generation and cost optimization projects. The role involves improving code, creating automated CI/CD testing, and developing reusable frameworks. Candidates should have a Bachelor's degree and 5+ years of experience in Data Analytics.

The position also requires proficiency in Python and SQL, alongside experience with data analytics tools like Numpy and Pandas. A stable employment contract and various perks including health coverage and learning opportunities are offered.

Formación

• 5+ years of overall experience in Data Analytics.
• Experience building scalable machine learning systems and data-driven products.
• Proficiency in Python and experience with common data analytics packages.

Responsabilidades

• Build, maintain, and document machine learning frameworks.
• Support the project team with Data Scientists and Analysts.
• Implement monitoring capabilities for model performance.

Conocimientos

Python

Data Analytics

Critical Thinking

Machine Learning Systems

SQL

Educación

Bachelor's degree in software engineering, computer science, data science, mathematics or related field

Herramientas

Numpy

Pandas

Sklearn

PySpark

Azure DevOps

Descripción del empleo

Capgemini Engineering in Colombia is seeking a highly capable Senior MLOps Engineer to support revenue generation and cost optimization projects. The role involves improving code, creating automated CI/CD testing, and developing reusable frameworks. Candidates should have a Bachelor's degree and 5+ years of experience in Data Analytics.

The position also requires proficiency in Python and SQL, alongside experience with data analytics tools like Numpy and Pandas. A stable employment contract and various perks including health coverage and learning opportunities are offered.