About the Role
We are seeking a Senior MLOps Engineer to design, build, and maintain enterprise-scale machine learning infrastructure on AWS. This role requires hands-on expertise in SageMaker, Terraform, CI/CD automation, model deployment, monitoring, and platform engineering. The ideal candidate has experience operationalizing ML models from development through production while ensuring scalability, security, and reliability.
Required Skills
- 5+ years of experience in MLOps, ML Platform Engineering, or ML Infrastructure Engineering.
- Strong expertise with AWS SageMaker, including:
- Training Jobs
- SageMaker Pipelines
- Model Registry
- Real-Time Endpoints
- Model Deployment & Monitoring
- Experience with AWS services:
- S3
- IAM
- KMS
- Lambda
- Step Functions
- CloudWatch
- Strong Infrastructure as Code experience using Terraform.
- Experience building CI/CD pipelines using GitLab CI, GitHub Actions, or similar tools.
- Hands-on experience with Docker and Git workflows.
- Strong Python development skills.
- Experience with model monitoring, drift detection, and production ML systems.
- Understanding of ML concepts including:
- Feature Engineering
- Model Evaluation
- AUC
- Calibration
- C-Index
- Knowledge of security best practices including IAM, encryption, and secrets management.
Preferred Skills
- Experience supporting LLM workloads.
- AWS Bedrock experience.
- Experience with automated model promotion and rollback strategies.
- Healthcare or Life Sciences industry experience.
- Experience implementing AIOps, anomaly detection, and auto-remediation.
Responsibilities
- Build and maintain SageMaker-based ML platforms and deployment pipelines.
- Develop Terraform modules for AWS ML infrastructure.
- Design and manage CI/CD pipelines for ML lifecycle automation.
- Implement model versioning, monitoring, drift detection, and observability.
- Support production ML services and endpoint reliability.
- Collaborate with Data Scientists to deploy and operationalize machine learning models.
- Implement governance, security, and cost optimization across ML platforms.
Rate:
Not specified
Location:
Remote
IR35 Status:
Outside
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Senior