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Senior MLOps Engineer

Crunchyroll, LLC · Hyderabad, India

About this role

Crunchyroll seeks a Senior MLOps Engineer in Hyderabad to build and operate reliable, scalable production ML systems for its AI/ML team. The role supports models used across internal operations and the fan experience, working closely with data scientists, ML engineers, data engineering and software engineering teams.

Responsibilities

  • Design and maintain end-to-end infrastructure and pipelines for model training, deployment and monitoring. Build automated ML CI/CD pipelines and manage experiment tracking, model registries and versioning.
  • Establish observability, alerting and monitoring to detect model drift, degradation and anomalies. Optimize training and inference workflows for performance, scale and cost.
  • Turn research notebooks into reproducible production pipelines; help teams compare experiments, deploy and scale models, and manage the lifecycle from data and validation through retraining. Integrate ML services into large-scale distributed systems while applying testing, automation, security, compliance and governance practices.

Qualifications

  • Bachelor’s or master’s degree in Data Science, Computer Science, Statistics or a related field, and at least 8 years of experience in MLOps, ML infrastructure or DevOps for AI/ML systems.
  • Experience with MLflow, SageMaker or Databricks ML for experiment tracking and model lifecycle management; Airflow or Step Functions for orchestration; and monitoring production models. Requires strong CI/CD and automation knowledge, hands-on Docker and EKS experience, Python scripting, cloud ML services, and cross-functional problem-solving and communication skills. AWS is the preferred cloud platform. Relevant services and tools include SageMaker, Lambda, S3, Kinesis, GitHub Actions, Terraform and CloudFormation; the team deploys models built with PyTorch, TensorFlow and Scikit-learn.

The R&D team works on applications including trend analysis, anomaly detection and LLM-based system-health queries, alongside customer experience and retention. The posting lists a hybrid work schedule, health coverage, mental-health support, professional development, parental leave, paid time off, flexible time off, summer half-day Fridays, winter break and Crunchyroll premium access.

Skills for this role

MLOpsML infrastructurePythonCI/CDMLflowAWS SageMakerSageMaker Model RegistryDatabricks MLApache AirflowAWS Step FunctionsGitHub ActionsTerraformAWS CloudFormationDockerAmazon EKSKubernetesAWS LambdaAmazon S3Amazon KinesisPyTorchTensorFlowScikit-learnExperiment trackingModel monitoringModel versioningWorkflow orchestrationObservabilityModel governanceSecurityCompliance required for ML systems? no

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