Machine Learning Engineer - Remote

Overview

The Machine Learning Engineer will be part of a strategic initiative focused on developing predictive maintenance algorithms for manufacturing operations, utilizing advanced data science and MLOps practices to improve efficiency and reduce costs.

In Short

• Lead technical delivery of data processing pipelines.
• Design and implement anomaly and failure detection models.
• Collaborate with data science, engineering, and domain teams.
• Apply explainable AI tools and create diagnostic visualizations.
• Mentor team members through the ML lifecycle.

Requirements

• 4+ years of experience with Python and data science libraries.
• Proficiency in feature engineering and data transformation.
• Experience with unsupervised anomaly detection algorithms.
• Solid expertise in supervised machine learning models.
• Good understanding of explainable AI frameworks.
• Experience with MLOps practices and tools.

Benefits

• Comprehensive wellbeing program covering physical, emotional, and social health.
• Flexibility in defining work-life dynamics.
• Support for maintaining mental wellbeing.
• Opportunities for team events and community engagement.