MLOPS Engineer ⭐ Featured

• Python
• MLOps
• TensorFlow Serving
• TorchServe
• Docker
• Kubernetes
• AWS
• CI/CD
• GitLab
• Prometheus
• Grafana
• ELK Stack

As an MLOps Engineer, you will design and manage end-to-end machine learning pipelines for training, validation, and deployment of ML models. You will collaborate with data scientists and engineers to operationalize models using serving frameworks and implement CI/CD workflows for ML solutions. The role includes containerization, orchestration, monitoring, and optimization of ML infrastructure to ensure scalability and cost efficiency. Strong expertise in cloud platforms, DevOps practices, and model versioning is essential.