MLOps Specialist

Position Summary:

Veridic Solutions is seeking a skilled MLOps Engineer to enhance our dynamic data science team. In this role, you will oversee and refine the entire machine learning lifecycle, from the inception of model development to its deployment and ongoing monitoring. Your contributions will guarantee that our machine learning models are robust, efficient, and maintainable.

Core Responsibilities:

• Model Implementation: Partner with data scientists to transition machine learning models into production settings, ensuring they are scalable, secure, and high-performing.
• Infrastructure Oversight: Architect and manage the foundational infrastructure necessary for machine learning, which includes cloud services, data workflows, and continuous integration/continuous deployment (CI/CD) processes.
• Process Automation: Deploy automation solutions to enhance the deployment, oversight, and upkeep of machine learning models.
• Performance Monitoring and Optimization: Assess model performance in live environments, fine-tune model efficiency, and oversee version control and rollback strategies.
• Data Workflow Management: Develop and sustain data workflows that supply machine learning models, ensuring the quality and integrity of the data.
• Team Collaboration: Collaborate closely with data scientists, software developers, and IT personnel to seamlessly integrate machine learning solutions into current systems.
• Regulatory Compliance and Security: Ensure that all deployed models and data workflows adhere to industry standards and regulations, particularly concerning data security and privacy.