AI and Machine Learning Infrastructure Specialist
5 days ago
At Massive Rocket, we're on a mission to deliver human experiences at scale. As a Senior MLOps Engineer, you'll play a crucial role in designing, implementing, and optimizing robust, scalable, and efficient machine learning infrastructure.
Key Responsibilities- Automate and streamline the deployment of ML models to production environments.
- Implement CI/CD pipelines for ML models, ensuring efficient retraining and deployment.
- Optimize model inference performance and scalability.
We're looking for someone with hands-on experience in cloud-based ML infrastructure design and management, utilizing Kubernetes and Docker for containerized ML model deployment. Your expertise in Apache Airflow or similar tools will help automate data workflows and ensure compliance with security and governance standards.
Requirements- MLOps engineering with a strong focus on ML model deployment.
- Experience with AzureML, MLFlow, Snowflake, dbt, Airflow, Terraform, LLM, and Kubernetes.
As a Senior MLOps Engineer at Massive Rocket, you'll collaborate closely with data scientists, software engineers, and DevOps teams to improve workflows and maintain comprehensive documentation of ML infrastructure, processes, and best practices. If you're passionate about innovation, have excellent problem-solving skills, and can work in a fast-paced environment, we'd love to hear from you
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