Cloud Artificial Intelligence Engineer

7 days ago


kakinada, India beBeeArtificialIntelligenceEngineer Full time

AI Engineer - CloudWe are seeking a skilled AI Engineer with 3–5 years of hands-on experience in designing, developing and deploying AI/ML solutions in cloud environments.This role is ideal for those who have strong proficiency in Python and experience with both Azure and AWS. Additionally, a solid understanding of MLOps practices is required.Design and implement scalable AI/ML models for banking applications (e.g., fraud detection, credit scoring, customer segmentation).Deploy and manage models in production using Azure ML and AWS SageMaker.Collaborate with data scientists, software engineers, and DevOps teams to operationalize ML workflows.Build and maintain CI/CD pipelines for ML model deployment and monitoring.Ensure compliance with data governance, security, and regulatory standards.Optimize model performance and resource usage in cloud environments.RequirementsProgramming: Strong Python skills, including libraries like Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch.Cloud Platforms: Hands-on experience with Azure ML, AWS SageMaker, and cloud-native services (e.g., Lambda, EC2, S3, Azure Functions).MLOps: Familiarity with ML lifecycle tools (MLflow, Kubeflow, Airflow), containerization (Docker), and orchestration (Kubernetes).Deployment: Experience deploying models as REST APIs or batch jobs in production environments.Version Control & CI/CD: Git, GitHub Actions, Azure DevOps, or AWS CodePipeline.Monitoring & Logging: Tools like Prometheus, Grafana, or cloud-native monitoring solutions.Preferred QualificationsExperience in the banking or financial services domain.Knowledge of data privacy regulations (e.g., GDPR, PSD2).Exposure to generative AI or LLM fine-tuning is a plus.



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