AI Engineering Specialist
We are seeking a highly skilled professional to fill the role of AI Engineer, responsible for designing and developing cutting-edge AI / ML solutions in cloud environments.
Key Responsibilities :
- Design and Implement Scalable Models
- 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
- Ensure compliance with data governance, security, and regulatory standards.
- Optimize Model Performance and Resource Usage
- 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.