AI model trainer

An AI model trainer brings specialised knowledge in developing and fine-tuning machine learning models. They ensure models are accurate, efficient, and tailored to specific needs. Hiring an AI model trainer and tester can significantly enhance our data management and analytics capabilities. The role involves expertise in Model Development, Quality Assurance, Efficiency and Scalability and Production ML Monitoring & MLOps. Implement and maintain model monitoring pipelines to detect data drift, concept drift, and model performance degradation, setting up alerting and logging systems using tools such as Evidently AI, WhyLabs/Prometheus + Grafana or cloud-native solutions Collaborate with teams to integrate monitoring into CI/CD pipelines, using platforms like Kubeflow, MLflow, Airflow, and Neptune.ai. Define and manage automated retraining triggers and model versioning strategies. They will ensure observability and traceability across the ML lifecycle in production environments.