Remote ML Ops Engineer for Clean Energy AI

ENERCON - Sweden; Villa Unión; Híbrido; MXN 429.701 - 687.521; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Opportunity to work up to 95% remotely

30 days of vacation per year

Flexible working hours

Internal and external training opportunities

Comprehensive support for company pension schemes

Private occupational disability insurance

Financial support for capital-forming benefits

International onboarding process

First-name culture

Company fitness programs

Descripción de la vacante

ENERCON - Sweden is seeking a ML Ops Engineer to contribute to wind energy projects. The ideal candidate will have a degree in Computer Science or Business Informatics and solid experience with Machine Learning frameworks and cloud platforms. Responsibilities include developing policies for AI, implementing ML Operations frameworks, and collaborating with Data Science and DevOps teams. The position allows for up to 95% remote work and offers a comprehensive benefits package, including extensive training opportunities.

Formación

• Completed degree in Computer Science, Business Informatics or comparable qualification.
• Solid experience with common Machine Learning frameworks and building scalable data pipelines.
• Proficient use of cloud platforms and modern data-engineering technologies.

Responsabilidades

• Develop guidelines and policies for Gold Standard for AI.
• Implement and monitor a Machine Learning Operations framework.
• Collaborate with Data Science and DevOps teams for ML model rollout.

Conocimientos

Machine Learning frameworks (e.g., Databricks MLflow)

CI/CD processes for machine-learning workflows

Cloud platforms (e.g., Azure)

Data engineering technologies (e.g., PySpark)

Analytical skills

Communication skills

Educación

Degree in Computer Science or Business Informatics

Herramientas

Git

TensorFlow

PyTorch

Descripción del empleo

ENERCON - Sweden is seeking a ML Ops Engineer to contribute to wind energy projects. The ideal candidate will have a degree in Computer Science or Business Informatics and solid experience with Machine Learning frameworks and cloud platforms. Responsibilities include developing policies for AI, implementing ML Operations frameworks, and collaborating with Data Science and DevOps teams. The position allows for up to 95% remote work and offers a comprehensive benefits package, including extensive training opportunities.