Senior MLOps Engineer – AWS

Cairo, Cairo Governorate, Egypt

Full Time

Software Engineering

Mid Level

Senior MLOps Engineer – AWS

Experience: 5–7 Years
Location: Cairo, Egypt (Onsite Role)
Employment Type: Full-Time

Job Summary

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.

Key Responsibilities

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

Required Skills & Qualifications

MLOps & Machine Learning

5–7 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

AWS Cloud (Mandatory)

Hands-on experience with:
- Amazon SageMaker
- S3, EC2, Lambda
- IAM, CloudWatch
- ECR, ECS or EKS
Understanding of secure and scalable AWS architecture

DevOps & Automation

Docker and containerization
CI/CD using GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline
Infrastructure as Code (Terraform or CloudFormation)

Programming & Data

Strong Python programming skills
Experience with SQL and working knowledge of NoSQL databases
Experience handling structured and unstructured datasets

Good to Have

Exposure to feature stores and data versioning
AWS Associate-level certification
Basic understanding of ML governance and compliance

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How many years of hands-on experience do you have working in MLOps or ML production environments?*

How many years of experience do you have deploying ML models on AWS (including SageMaker)?*

How many years of hands-on experience do you have with Docker and Kubernetes (EKS/ECS)?*

How many years of experience do you have building CI/CD pipelines for ML workflows?*

Are you currently based in Cairo, Egypt or willing to relocate for an onsite role?*

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