About Aviso At Aviso, we're transforming revenue intelligence through advanced machine learning and AI. Our platform helps sales organizations optimize their revenue operations with accurate forecasting, insightful deal analytics, and data-driven recommendations.We're looking for experienced MLOps Engineers to help scale our AWS-based machine learning infrastructure and operations.Position Overview As a Senior MLOps Engineer, you will play a critical role in developing and managing ML pipelines, deploying models, and ensuring operational excellence. You’ll collaborate with data scientists and software engineers to build and optimize workflows on AWS using Kubeflow and other modern MLOps tools.Key Responsibilities Develop and maintain production-ready ML pipelines on AWS Collaborate with ML and engineering teams to deploy and monitor models using Kubeflow Contribute to the CI/CD processes for ML workflows Build and manage scalable data pipelines for model training and inference Implement monitoring, logging, and alerting systems for ML infrastructure Support model versioning, canary releases, and rollback strategies Participate in design reviews and help define MLOps best practices Assist in automating infrastructure and deployment workflowsRequirements 4–6 years of experience in software engineering, DevOps, or MLOps 2+ years of experience working with AWS services (e.g., EKS, ECR, S3, Lambda) Familiarity with Kubeflow or similar ML orchestration tools Experience with CI/CD tools and practices for ML lifecycle management Strong programming skills in Python and scripting languages Proficiency in infrastructure-as-code (Terraform, CloudFormation, etc.) Understanding of ML deployment lifecycle and common ML frameworks Exposure to data engineering and pipeline design at scale Strong problem-solving and collaboration skillsPreferred Qualifications Experience supporting revenue forecasting or classification models in production AWS Associate or Professional certifications Familiarity with Kafka or other streaming systems Exposure to ML metadata management and feature stores
Job Title
Senior ML Ops Engineer