Job Description
Description
Key Responsibilities:
Design, implement and maintain ML pipelines for model training, validation, and deployment
Automate model training, testing and deployment (CI/CD of ML models)
Monitor model performance, data drift, and system health in production environments.
Deploy models in pre-prod, prod environments.
Collaborate with data scientists to operationalize machine learning models and algorithms
Implement version control for models, datasets, and ML experiments using MLOps tools
Optimize ML infrastructure for scalability, reliability, and cost-effectiveness
Troubleshoot and resolve issues related to model deployment and production systems
Maintain documentation for ML workflows, deployment processes, and system architecture
This position may require availability outside of s...