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Senior MLOps Engineer

Crunchyroll, LLC · Hyderabad

New
Hybrid Senior 🇬🇧 English
Python Docker Kubernetes AWS SageMaker Lambda S3 Kinesis Step Functions MLflow Databricks Airflow GitHub Actions Terraform CloudFormation PyTorch TensorFlow Scikit-learn

Job description

About the role

Crunchyroll’s AI/ML team is expanding to support millions of anime fans worldwide. The team relies on robust MLOps practices to deliver reliable, scalable machine‑learning models in production. As a Senior MLOps Engineer you will design, build and maintain the end‑to‑end infrastructure that powers model training, deployment and monitoring.

Key responsibilities

  • Design, build and maintain end‑to‑end ML infrastructure and pipelines for training, deployment and monitoring.
  • Develop and manage CI/CD pipelines for fast, reliable delivery of ML models.
  • Implement model registry, experiment tracking and versioning using tools such as MLflow or SageMaker Model Registry.
  • Establish monitoring, observability and alerting frameworks to detect drift, degradation and anomalies.
  • Collaborate with data scientists to productionize models and ensure seamless transition from research to production.
  • Optimize workflows for performance, scalability and cost across training and inference using AWS SageMaker, Databricks, Kubernetes (EKS) and Docker.

Required profile

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics or a related field.
  • 8+ years of experience in MLOps, ML infrastructure or DevOps for AI/ML systems.
  • Proven ability to work with cross‑functional data science and engineering teams.
  • Strong problem‑solving and communication skills.

Required skills

  • Python programming and scripting.
  • Containerization with Docker and orchestration with Kubernetes/EKS.
  • AWS services (SageMaker, Lambda, S3, Kinesis, Step Functions).
  • MLflow, SageMaker Model Registry, Databricks for experiment tracking and model lifecycle.
  • Workflow orchestration tools such as Airflow or Step Functions.
  • CI/CD automation (GitHub Actions, Terraform, CloudFormation).
  • Machine‑learning frameworks: PyTorch, TensorFlow, Scikit‑learn.

What we offer

  • Best‑in‑class medical, dental and vision private insurance.
  • Employee Assistance Program with 24/7 mental‑health support.
  • Free premium access to Crunchyroll.
  • Paid parental leave (up to 26 weeks for birthing parents, 12 weeks for non‑birthing).
  • Hybrid work schedule, flexible paid time off and half‑day Fridays in summer.

Questions fréquentes

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Published 7 hours ago

Expires 1 month from now

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Crunchyroll, LLC

Hyderabad