Lead Systems Engineer - Data DevOps/MLOps

Responsibilities

• Design, deploy, and manage CI/CD pipelines for seamless data integration and ML model deployment
• Establish robust infrastructure for processing, training, and serving machine learning models using cloud-based solutions
• Automate critical workflows such as data validation, transformation, and orchestration for streamlined operations
• Collaborate with cross-functional teams, including data scientists and engineers, to integrate ML solutions into production environments
• Improve model serving, performance monitoring, and reliability in production ecosystems
• Ensure data versioning, lineage tracking, and reproducibility across ML experiments and workflows
• Identify and implement opportunities to improve scalability, efficiency, and resilience of the infrastructure
• Enforce rigorous security measures to safeguard data and ensure compliance with relevant regulations
• Debug and resolve technical issues in data pipelines and ML deployment workflows

Languages