Senior MLOps Engineer

Crunchyroll; Hyderabad; Hybrid; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Best-in-class medical, dental, and vision private insurance

Free premium access to Crunchyroll

Paid parental leave up to 26 weeks

Flexible time off

Winter break

Job summary

Crunchyroll in Hyderabad is seeking an experienced MLOps Engineer to support the development and deployment of machine learning models. You will design and maintain ML infrastructure, manage CI/CD pipelines, and ensure smooth collaboration with data scientists.

The ideal candidate has 8+ years of experience in MLOps, with strong skills in AWS and proficiency in tools like MLflow and Docker. Enjoy a hybrid work schedule and best-in-class healthcare benefits.

Qualifications

• 8+ years of experience in MLOps, ML infrastructure, or DevOps for AI/ML systems.
• Experience with MLflow, SageMaker, or Databricks for experiment tracking and lifecycle management.
• Strong knowledge of CI/CD and automation frameworks.

Responsibilities

• Design, build, and maintain end-to-end ML infrastructure and pipelines.
• Develop and manage CI/CD pipelines for ML.
• Collaborate with data engineers to integrate ML services.

Skills

MLOps

Infrastructure design

CI/CD pipelines

Python scripting

Docker

Education

Bachelor's or Master’s degree in Data Science, Computer Science, Statistics, or related field

Tools

MLflow

SageMaker

Databricks

AWS

Job description

About Crunchyroll

Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We serve over 100 million anime and manga fans across 200+ countries and territories, helping them connect with the stories and characters they crave. Whether online or in‑person, streaming video, theatrical releases, games, merchandise, events and more, it’s powered by the anime content we all love.

About the Role

Crunchyroll is growing and changing, presenting unique challenges and opportunities to support millions of anime fans around the world. The AI/ML team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans. The team relies on strong MLOps practices to ensure models are reliable, scalable, and impactful in production.

• Design, build, and maintain end‑to‑end ML infrastructure and pipelines to support model training, deployment, and monitoring.
• Develop and manage CI/CD pipelines for ML to enable fast, reliable, and automated delivery of ML models.
• Implement and manage model registry, experiment tracking, and versioning using tools such as MLflow, SageMaker Model Registry, or equivalent.
• Establish monitoring, observability, and alerting frameworks to detect drift, degradation, and anomalies in real time.
• Partner with data scientists to productionize ML models, ensuring a seamless transition from research to production.
• Optimize ML workflows for performance, scalability, and cost‑effectiveness across training and inference.
• Leverage platforms such as AWS SageMaker, Databricks, Kinesis, Lambda, Kubernetes (EKS), and Docker for ML operations.
• Collaborate with data engineering and software engineering teams to integrate ML services into large‑scale distributed systems.
• Drive best practices for MLOps, including reproducibility, governance, compliance, and security of deployed models.

How You’ll Work With Data Science

• Partner with ML Engineers to deploy and scale models built with frameworks like PyTorch, TensorFlow, and Scikit‑learn.
• Help data scientists track experiments, compare runs, and promote models to production.
• Translate research notebooks into production‑grade pipelines with reproducible training and inference workflows.
• Co‑own model lifecycle management: data, training, validation, deployment, monitoring, retraining.
• Ensure ML models align with software engineering best practices for testing, automation, and observability.

About You

• 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.
• Experience with MLflow, SageMaker, or Databricks for experiment tracking, model registry, and lifecycle management.
• Proficiency with workflow orchestration tools such as Airflow or Step Functions.
• Deep knowledge of CI/CD and automation frameworks (GitHub Actions, Terraform, CloudFormation).
• Hands‑on experience with containerization (Docker) and orchestration (EKS).
• Proficiency in Python and scripting for ML integrations.
• Strong knowledge of cloud platforms (AWS preferred) and services relevant to ML (SageMaker, Lambda, S3, Kinesis, Step Functions).
• Understanding of security, compliance, and governance in ML production systems.
• Excellent problem‑solving and communication skills, with a proven ability to work with cross‑functional teams of data scientists.

About the Team

The R&D team is dedicated to developing, testing, and validating robust and scalable machine learning models that drive business objectives. Our focus includes enhancing operational processes through AI/ML solutions such as trend analysis, anomaly detection, and the deployment of large language models for system‑health queries. A major focus area is preserving and improving customer experience and retention. We closely work with stakeholders to ensure AI/ML objectives are clearly defined.

Why You Will Love Working at Crunchyroll

• Best‑in‑class medical, dental, and vision private insurance healthcare coverage.
• Access to counseling & mental health sessions 24/7 through our Employee Assistance Program (EAP).
• Free premium access to Crunchyroll.
• Professional development opportunities.
• Paid parental leave: up to 26 weeks for birthing parents, up to 12 weeks for non‑birthing parents.
• Hybrid work schedule.
• Paid time off and flexible time off.
• 5 Yasumi days and half‑day Fridays during the summer.
• Winter break.

About Our Values

• Courage – We believe that overcoming fear unlocks our best selves.
• Curiosity – Curiosity is the gateway to empathy, inclusion, and understanding.
• Kaizen – We maintain a growth mindset committed to constant forward progress.
• Service – We serve our community with humility, enabling joy and belonging for others.

Commitment to Diversity and Inclusion

We are an equal‑opportunity employer and value diversity at Crunchyroll. Pursuant to applicable law, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.