MLOps Engineer - AWS
Posted on: 25/08/2025
Job Description
Location : Pune / Mumbai / Hyderabad / Bangalore.
Experience : 6 to 9 years.
Responsibilities :
- Manage endpoints, hosting, and scalable ML solutions.
- Develop & automate ML workflows with SageMaker Pipelines.
- Use SageMaker Feature Store for feature management.
- Collaborate with Data Science & DevOps teams across ML Ops lifecycle.
Must-Have Skills :
- Python (Advanced scripting & automation).
- Terraform (IaC for ML pipelines & endpoints).
- SageMaker (full lifecycle : build ? deploy ? monitor).
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Posted By
Sneha Gupta
Senior Human Resource Manager at TEKIT SOFTWARE SOLUTIONS PRIVATE LIMITED
Last Active: 26 Nov 2025
Job Views:
57
57
Applications: 60
Recruiter Actions: 0
Posted in
DevOps / SRE
Functional Area
DevOps / Cloud
Job Code
1535124
