MLOps Engineer - Remote

Overview

Join Mitiga as an MLOps Engineer to contribute to the development, deployment, and maintenance of machine learning models in the context of climate resilience.

In Short

• Design and develop MLOps workflows for machine learning models.
• Manage and manipulate datasets for feature engineering and data cleaning.
• Develop automated pipelines for climate-related data ingestion.
• Transform Jupyter Notebooks into production-ready ML pipelines.
• Implement and maintain training and inference pipelines in cloud environments.
• Ensure scalability of deployed ML models and workflows.
• Collaborate with Data Scientists for model optimization.
• Participate in national and international technical proposals.

Requirements

• Proficiency in Python for data science and ML operations.
• Knowledge of Machine Learning frameworks like TensorFlow and PyTorch.
• Experience with cloud platforms (Azure or AWS).
• Familiarity with Docker, Kubernetes, and Git.
• Ability to work effectively in a team.
• Proactive in building solutions and applying new technologies.
• Fluent in English (C1 level).

Benefits

• Unlimited personal time and flexible working arrangements.
• Option to work from home or in the Barcelona office.
• Compressed work schedule with half days on Fridays.
• Structured feedback and mentorship programs.
• Encouragement of diversity and equal opportunity in hiring.