AI Solution Developer

2 days ago

anand, India beBeeArtificialIntelligence Full time

Job Title: AI EngineerWe are seeking a highly skilled and experienced AI/ML professional to join our team. As an AI Engineer, you will be responsible for designing, developing, and deploying AI/ML solutions in cloud environments.Main 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:To be successful as an AI Engineer, you will need strong proficiency in Python, experience with both Azure and AWS, and a solid understanding of MLOps practices.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:This role offers a unique opportunity to work with cutting-edge technologies and contribute to the development of innovative AI/ML solutions.You will have the chance to collaborate with experienced professionals, learn from their expertise, and grow your skills in a dynamic and supportive environment.

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