Intelligent Systems Developer

1 week ago

bangalore, India beBeeMachine Full time

AI Engineering PositionWe seek a seasoned AI Engineer to design, develop, and deploy intelligent systems in cloud environments.Key Responsibilities:Develop and implement scalable machine learning models for banking applications (e.g., risk assessment, customer segmentation).Deploy and manage models in production using cloud services like Azure ML and AWS SageMaker.Collaborate with cross-functional teams to operationalize machine learning workflows.Build and maintain CI/CD pipelines for model deployment and monitoring.Ensure compliance with data governance, security, and regulatory standards.Optimize model performance and resource usage in cloud environments.Document processes, models, and deployment strategies for knowledge sharing.Required Skills:Programming: 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 machine learning 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 Qualifications:Experience 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. (Certifications in Azure or AWS) (e.g., Azure AI Engineer Associate, AWS Certified Machine Learning).

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