Bytespoke
Website:
bytespoke.com
Company:
https://www.linkedin.com/company/bytespoke
Seniority: Entry level
Industries: Business Consulting and Services
Job details:
Job Summary
We are seeking an experienced MLOps Engineer to design, automate, and manage scalable machine learning pipelines. The ideal candidate will have expertise in Amazon SageMaker, AWS, CI/CD, Docker, Kubernetes, and Infrastructure as Code.
Key Responsibilities
- Design and maintain end-to-end MLOps pipelines.
- Build CI/CD pipelines for ML workflows using SageMaker Pipelines, Git, and Terraform/CloudFormation.
- Deploy, monitor, and manage ML models on Amazon SageMaker.
- Implement model monitoring for performance, drift, bias, and latency.
- Manage containerized workloads using Docker and Amazon ECS/EKS.
- Collaborate with Data Scientists, ML Engineers, and DevOps teams.
Required Skills
- 4–8 years of experience in MLOps or Machine Learning Engineering.
- Hands-on experience with Amazon SageMaker and ML deployment pipelines.
- Strong knowledge of AWS, Docker, Kubernetes (ECS/EKS), Terraform, CloudFormation, Git, and CI/CD.
- Experience with model monitoring, versioning, and automation.
- Strong scripting skills in Python.
Click on Apply to know more.