MLOPS Engineering Manager - Cincinnati, United States - Flexton Inc.

Description

Key Responsibilities

Diverse ML Platform Expertise:

• Maintain expertise in a range of ML technologies and platforms, with a preference for Google Vertex AI, but open to other systems as needed.

• Leverage support for open-source frameworks like TensorFlow, PyTorch, scikit-learn, and integrate them with ML frameworks via custom containers.

• Stay updated with the latest trends in MLOps and ML technologies.

Data Management and Collaboration:

• Assist as needed with data labeling and management, ensuring high-quality data for ML models.

• Collaborate with data engineers and data scientists to ensure the integrity and efficiency of data used in ML models.

• Ensure end-to-end integration for data to AI, including the use of BigTable / BigQuery for executing machine learning models on business intelligence tools.

Continuous Monitoring and Optimization:

• Monitor ML systems in production, identify improvement opportunities, and implement optimizations.

• Participate in support rotations and participate in support calls as necessary.