Job Opportunity : AI Innovation Specialist
We seek a skilled AI engineer with 3–5 years of hands-on experience 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 and Opportunities :
Be part of a dynamic team driving innovation in AI and ML.Contribute to the development of cutting-edge AI / ML solutions.Collaborate with cross-functional teams to drive business outcomes.