
ML Ops Engineer
Seeking a senior MLOps/ML platform engineer with 5+ years of production software or MLOps experience to design, build, and scale ML lifecycle capabilities (datasets, features, models, tracking, deployments, monitoring, retraining). Role emphasizes Python, large-scale data/training infrastructure, ML lifecycle frameworks (MLflow/Metaflow/Kubeflow), orchestration (Airflow/Databricks), LLM/agent operationalization, observability, and CI/CD for production AI systems.











