MLOps Engineer

Centurion is looking for a MLOps Engineer for our federal government client in Woodlawn, MD. This is a long term, onsite position.

Key Required Skills :

Machine Learning, Python, NoSQL and Relational Databases, DevOps, CI / CD, and Cloud Platforms (AWS, Azure) and related ML services.

Position Description :

• Ensure that ML models can be effectively developed, deployed, managed, and monitored in Production environments.
• Productionize ML models – integrate trained ML models with Production systems
• Build and manage ML pipelines – design, build, and maintain automated pipelines including data ingestion, data preprocessing, model training, validation, and deployment utilizing CI / CD practices.
• Infrastructure management – set up and manage infrastructure for ML workloads utilizing cloud platforms and containerization technologies.
• Monitoring and alerting – implement monitoring systems to track performance of ML models in Production
• Automation – automate various tasks within the ML workflow to improve efficiency and reproducibility
• Performance optimization – identify ways to optimize the performance, efficiency, and scalability of ML models and their supporting infrastructure
• All other duties as assigned or directed.

Skills Requirements :

HOW TO STAND OUT FROM THE CROWD (Desired Skills)

Showcase your knowledge of modern development through the following experience or skills :

Education :

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