hirly
Sign inGet started free

Infosys

MLOps Engineer

Bangalore, India

hirly Pro

Get in front of the people hiring at Infosys

  • Reach the hiring manager at Infosys on LinkedIn, from your own account
  • hirly applies to this job for you, with unlimited applications
  • A resume and cover letter written for this job, unlimited
  • The hiring manager and recruiter at Infosys, with contact details
Get Pro for this job →

$49 a month · ₹1,999 for 30 days in India · cancel any time

See how you match this job — and similar ones. Free.

Upload your resume and hirly scores it against this role at Infosys first, then against similar open jobs, and shows where you fit and why.

PDF or DOCX, up to 12MB. No sign-up to see your matches.

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

  • Keywords matched to this posting
  • Fit score before you apply
  • Cover letter included

Matched against 2.8M live jobs from 210,000+ employers in 200+ countries.

Tailor my resume for this job →

Apply from your AI assistant

Connect hirly to Claude or ChatGPT and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending.

See how it works

Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.

hirly's read of this role

Seniority
Mid level
Country
IN
Work mode
On-site / unstated
First seen by hirly
5 Nov 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

We are seeking an experienced MLOps Engineer with strong expertise in deploying, managing, and optimizing machine learning workloads in production environments. This role is primarily focused on MLOps (60%), supported by AWS Cloud (25%) and DevOps (15%) capabilities. The ideal candidate will have hands-on ownership of the end-to-end ML lifecycle, including model training, deployment, monitoring, automation, performance optimization, and retraining. Strong experience with AWS services, CI/CD pipelines, containerization, infrastructure automation, and production-grade ML platforms is essential. This is not a generic DevOps role; candidates must demonstrate proven experience in operationalizing and maintaining ML models at scale in cloud environments.

Responsibilities

5+ yrs DevOps/Cloud/MLOps experience; Python for scripting and automation

Strong with Jenkins, Git, Docker, EKS troubleshooting

AWS: SageMaker, Lambda, S3, ECS, IAM, RDS, infra creation

IaC: CloudFormation (CFT) and Terraform

MLOps: build/operate ML pipelines deploying to SageMaker, Databricks, or Lambda

Technical requirements

1. SageMaker

2. MLflow

3. Kubeflow

4. Databricks

5. MLOps

6. Model Deployment

7. Model Monitoring

8. Model Retraining

9. Feature Store

10. CI/CD for ML

11. Training Pipelines

12. Inference Pipelines

13. Drift Detection

14. Docker

15. Kubernetes/EKS

16. Terraform

17. CloudFormation

18. AWS Lambda

19. Python Automation

Additional responsibilities

••

Education

Bachelor of Engineering

Original posting on Infosys's site ↗

Listed on hirly, a job board. hirly is not the employer: Infosys is hiring for this role.

Similar jobs

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job