MLOps Engineer

Your Role

• Design, implement, and maintain end-to-end ML pipelines for model training, evaluation, and deployment.
• Collaborate with data scientists and software engineers to operationalize ML models using serving frameworks (TensorFlow Serving, TorchServe) and MLOps tools.
• Develop and maintain CI / CD pipelines for ML workflows.
• Implement monitoring and logging solutions for ML models with experience in ML model serving frameworks (TensorFlow Serving, TorchServe).
• Optimize ML infrastructure for performance, scalability, and cost-efficiency.

Your Profile

What You'll Love About Working Here

Skills Required

Python, MLops, Docker, Kubernetes, Aws