MLOps Engineer

Experience:
4+ Years

Location:
India

Employment Type:
Full time

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
.

? Interested candidates can share their resumes:

?
[email protected]

📌 MLOps Engineer (India)
🏢 bytespoke
📍 India