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 be vital in ensuring that our machine learning models are efficient, dependable, and straightforward to manage.

Core Responsibilities:

• Model Implementation: Partner with data scientists to implement machine learning models in production settings, guaranteeing scalability, security, and optimal performance.
• Infrastructure Oversight: Architect and supervise the foundational infrastructure necessary for machine learning, encompassing cloud solutions, data workflows, and continuous integration/continuous deployment (CI/CD) processes.
• Process Automation: Deploy automation technologies to enhance the deployment, oversight, and upkeep of machine learning models.
• Performance Monitoring and Optimization: Track model performance in live environments, enhance model efficiency, and handle version control and rollback procedures.
• Data Workflow Management: Develop and sustain data workflows that supply machine learning models, ensuring the quality and integrity of data.
• Team Collaboration: Collaborate closely with data scientists, software developers, and IT personnel to integrate machine learning solutions into current systems.
• Regulatory Compliance and Security: Ensure that implemented models and data workflows adhere to industry standards and regulations, including data security and privacy protocols.