Machine Learning Engineer

About the role

In the role of Machine Learning Engineer, you will report to the Director of Machine Learning and Data Science.

We are considering applicants for the location(s) of Hyderabard, India.

We are looking for an experienced Machine Learning Engineer with a focus on MLOps to join our dynamic team and ensure the seamless productionization, maintenance, and monitoring of machine learning and AI applications. You will support a range of applications, from traditional classification, forecasting, and prediction models to recommendation systems and LLM-powered solutions. You will collaborate with Machine Learning Engineers, Data Scientists, and Platform/Software Engineers to architect scalable, maintainable, and systems that adhere to operational excellence principles.

Core Areas of Responsibility

• Design, implement, and maintain MLOps pipelines for deploying, monitoring, and scaling machine learning models, including traditional models and LLM-powered applications.
• Ensure the architecture of ML systems prioritises scalability, reliability, and maintainability.
• Develop automated workflows for model training, testing, deployment, and monitoring.
• Implement monitoring and alerting systems to track model performance, data drift, and system health in production.
• Collaborate with Machine Learning Engineers and Data Scientists to refine model integration into production environments. Work with Platform/Software Engineers to integrate ML applications with existing infrastructure and ensure compatibility with cloud or on-premises systems.
• Stay up-to-date with MLOps best practices, tools, and new technologies to enhance system performance and reliability.

About You

• 2+ years of experience MLOps, including deploying and maintaining machine learning models in production environments.
• Proficiency in Python programming and familiarity with ML frameworks such as TensorFlow, PyTorch, or equivalent.
• Experience with MLOps tools and platforms (e.g., MLflow, Kubeflow, Airflow, or similar).
• Knowledge of cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes).
• Familiarity with CI/CD pipelines and version control systems like Git.
• Understanding of operational excellence principles, including system reliability, scalability, and monitoring.

About the Team

You will join a fast growing team of Data Scientists, Machine Learning Engineers, and AI Engineers, united by a passion for leveraging data and AI to create transformative solutions. Our team delivers both consumer-facing product features that enhance the streaming experience for millions of users and stakeholder-oriented solutions that empower internal teams with actionable insights. From building personalized recommendation systems to developing innovative tools like our stakeholder-facing chatbot, we combine cutting-edge machine learning, robust data pipelines, and advanced AI to drive impact across the organization. Collaboration, creativity, and a commitment to excellence define our team's culture as we work together to push the boundaries of what's possible in streaming and data-driven decision-making.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

• 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
• Company's Paid Parental Leave
• up to 26 weeks for birthing parents
• up to 12 weeks for non-birthing parents
• Hybrid Work Schedule
• Paid Time Off
• Flex Time Off
• 5 Yasumi Days
• Half-Day Fridays during the summer
• Winter Break

#LifeAtCrunchyroll #LI-Hybrid