AI Developer

15 hours ago


hubballi, India beBeeArtificial Full time

AI Engineer Role OverviewWe are seeking a skilled professional to design, develop and deploy AI/ML solutions in cloud environments. The ideal candidate will have strong proficiency in Python, experience with Azure and AWS, and a solid understanding of MLOps practices.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: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.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.BenefitsThis role offers the opportunity to work with cutting-edge technology and contribute to the development of innovative AI solutions.Professional growth and development opportunities.A dynamic and collaborative work environment.The chance to work on high-profile projects.


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