AI Systems Developer

1 week ago


kurnool, India beBeeMachineLearning Full time

Job Title: AI EngineerWe are seeking an experienced and skilled individual to join our team as a senior-level AI/ML engineer. The ideal candidate will have a strong background in designing, developing, and deploying AI/ML solutions in cloud environments.Key Responsibilities: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.Document processes, models, and deployment strategies for internal knowledge sharing.Required Skills and Qualifications: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 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.Benefits: Our company offers a dynamic and innovative work environment, competitive salary, and opportunities for growth and development.Others: We are an equal opportunities employer and welcome applications from all qualified candidates. Please submit your resume and cover letter for consideration.


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