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We are growing rapidly and are looking for a Middle\\Senior AI Engineer to join our team and drive complex, high-impact projects.\n\nJob Requirements:\n\n3+ years of experience deploying machine learning models (classical ML and/or LLMs) in cloud environments (AWS/GCP/Azure) using containers and Kubernetes\n\nHands-on experience with MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, Feast, or equivalent\n\nProven experience building robust data/feature pipelines and implementing monitoring for model drift and performance\n\nStrong Software Engineering fundamentals: version control, automated testing, CI/CD, security, and cost-aware development\n\nExcellent collaboration and communication skills in English \n\nOwnership mindset, curiosity, and a bias for action in a fast-paced environment\n\nResponsibilities:\n\nDesign, implement, and maintain end-to-end ML pipelines for both classical ML and LLM-based solutions\n\nDeploy and manage models in cloud environments (AWS / GCP / 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