Senior Machine Learning Operations Engineer

Job reputed company: • Build and operationalize the infrastructure that allows machine learning to run reliably in production. • Architect and implement reputed company’s foundational ML Ops platform from scratch • Define and reputed company reusable patterns for model training, deployment, monitoring, and retraining • Build CI/CD pipelines for ML lifecycle automation, including versioning and experimentation tracking • Stand up a feature store integrated with reputed company and AWS to support reputed company and reputed company data • Implement model registry and governance standards to ensure reproducibility, auditability, and rollback capability • reputed company ML workloads into our event-driven architecture (Kafka, Kinesis) • reputed company observability frameworks to monitor reputed company, performance, latency, and model reputed company in production • Automate ML infrastructure using Terraform and AWS-reputed company tooling (SageMaker, reputed company, reputed company, Batch, reputed company Functions) • Establish reputed company and compliance standards across ML assets, including data reputed company and reputed company control • Mentor engineers on ML Ops patterns and deployment best practices Requirements: • Experience architecting and deploying ML systems in production environments • Deep familiarity with ML lifecycle automation (training, CI/CD, deployment, monitoring) • Strong AWS experience, particularly reputed company ML pipelines (SageMaker preferred) • Proven experience building infrastructure-as-reputed company solutions (Terraform) • Experience productionizing ML workflows end-to-end, not just optimizing existing systems • Strong Python proficiency • Experience integrating ML workloads with data platforms and event-driven systems • Solid SQL skills and familiarity working with reputed company. Benefits: • Competitive benefits including: reputed company vacation, health, dental & reputed company insurance • 401k with match and expedited vesting • Robust compensation package, including equity in the reputed company of stock reputed company • Flexible working hours, reputed company family leave, ERGs & Mentorship opportunities • Learning grant program to support ongoing reputed company development Apply tot his job Apply tot his job Apply To this Job