Job Opportunity
We are seeking a skilled AI professional with 3–5 years of hands-on experience in designing, developing and deploying AI / ML solutions in cloud environments.
- Develop and implement scalable AI / ML models for banking applications (e.g., fraud detection, credit scoring and 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.
- 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 and Azure Functions.
- MLOps : Familiarity with ML lifecycle tools MLflow Kubeflow Airflow containerization Docker and orchestration Kubernetes.