Cloud Platforms: Extensive experience with at least one major cloud provider (AWS, Azure, or GCP), including services relevant to AI/ML (e.g., Sagemaker, Azure ML, Vertex AI, Lambda/Cloud Functions, EC2/VMs, EKS/AKS/GKE, S3/Blob Storage/Cloud Storage, RDS/Cloud SQL, Kafka/Kinesis/Pub/Sub). You will work closely with Data Scientists, Business Analysts, and Product Managers to translate complex business problems and ML models into production-ready software, focusing on MLOps best practices, system integration, and cloud-native development.