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Job Description & How to Apply Below
TCS
-6 to 8yrs
Chennai, Bangalore, Hyderabad, Kolkatta, Pune
Candidates with less experience and 6 years of experience need not apply
Strong experience with AWS cloud services, especially Sage Maker, Lambda, S3, EC2, IAM, EKS, SNS and Cloud Watch.
Please read Job description before Applying
NOTE:
If the skills/profile matches and interested, please reply to this email by attaching your latest updated CV and with below few details:
Name:
Contact Number:
Email :
Highest Qualification in: (Eg.
B.Tech/B.E./M.Tech/MCA/M.Sc./MS/BCA/B.Sc./Etc.)
Current Organization Name:
Total IT Experience-6 to 8yrs
LOCATION
Chennai, Bangalore, Hyderabad, Kolkatta, Pune
Current CTC
Expected CTC
Notice period:
Whether worked with TCS - Y/N
Must-Have*
* (Ideally should not be more than 3-5)
Strong experience with AWS cloud services, especially Sage Maker, Lambda, S3, EC2, IAM, EKS, SNS and Cloud Watch.
Familiarity with containerization ( Docker ) and orchestration tools (ECR, EKS).
Understanding of data engineering and ML lifecycle best practices.
Hands on experience is setting up CI and CD pipelines using both native Gitlab and AWS services like AWS Code-Build, Code Pipeline, Code Commit etc.
Good-to-Have(Ideally should not be more than 3-5)
SN
Responsibility of / Expectations from the Role
1
Develop and maintain end-to-end MLOps pipelines using AWS services (Sage Maker, Lambda, Step Functions, Code Pipeline).
2
Automate model training, validation, deployment, and monitoring processes.
3
Implement CI/CD practices for ML workflows.
4
Ensure scalability, reliability, and security of ML infrastructure.
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