Senior MLOps Engineer – AWS
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Job Summary
Experience: 57 Years
Location:Cairo Egypt (Onsite Role)
Employment Type: Full-Time
We are looking for a skilled and hands-on Senior MLOps Engineer with strong AWS expertise to support the deployment automation and monitoring of machine learning models in production. The ideal candidate will collaborate closely with Data Science and Engineering teams to operationalize ML models using cloud-native best practices.
- Design and implement end-to-end MLOps pipelines from data ingestion to model deployment
- Deploy and manage ML models using AWS-native services such as SageMaker
- Build and maintain CI/CD pipelines for ML workflows
- Implement model monitoring performance tracking and basic drift detection
- Containerize ML workloads using Docker and deploy on EKS/ECS
- Support infrastructure automation using Terraform or CloudFormation
- Ensure scalability availability and security of ML systems
- Collaborate with cross-functional teams to productionize ML solutions
- Troubleshoot ML pipelines and cloud infrastructure issues
- 57 years of overall experience with at least 3 years in MLOps or ML production environments
- Experience managing ML lifecycle (training deployment monitoring)
- Hands-on experience with TensorFlow PyTorch or Scikit-learn
- Experience with MLflow or similar experiment tracking tools
- Hands-on experience with:
- Amazon SageMaker
- S3 EC2 Lambda
- IAM CloudWatch
- ECR ECS or EKS
- Understanding of secure and scalable AWS architecture
- Docker and containerization
- CI/CD using GitHub Actions GitLab CI Jenkins or AWS CodePipeline
- Infrastructure as Code (Terraform or CloudFormation)
- Strong Python programming skills
- Experience with SQL and working knowledge of NoSQL databases
- Experience handling structured and unstructured datasets
- Exposure to feature stores and data versioning
- AWS Associate-level certification
- Basic understanding of ML governance and compliance
Required Experience:
Manager
Key Skills
- APIs
- C/C++
- Computer Graphics
- Go
- React
- Redux
- Node.js
- AWS
- Library Services
- Assembly
- GraphQL
- High Voltage
About Company
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