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ML Ops Engineer

ML Ops Engineer

RailsCarma

5 years

0 Lacs

India

Posted:1 week ago| Platform:

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Skills Required

ml scaling learning design deployment training versioning automate jenkins tensorflow data devops monitoring model drift aws gcp terraform gitlab azure

Work Mode

Remote

Job Type

Full Time

Job Description

ML Ops Engineer (Remote)

ML Ops Engineer

Location:

Experience:

What You’ll Do

Design and manage scalable ML pipelines and deployment frameworks
Own the full ML lifecycle: training ➝ versioning ➝ deployment ➝ monitoring
Build cloud-native infrastructure on
AWS
,
GCP
, or
Azure
Automate deployment using
CI/CD tools
like Jenkins, GitLab
Containerize and orchestrate ML apps with
Docker
and
Kubernetes
Use tools like
MLflow
,
TensorFlow Serving
,
Kubeflow
Partner with Data Scientists & DevOps to ship robust ML solutions
Set up monitoring systems for model drift and performance issues

What We’re Looking For

5+ years of experience in
MLOps
or
DevOps for ML systems
Hands-on with at least
two cloud platforms
: AWS, GCP, or Azure
Proficient in
Python
and ML libraries (TensorFlow, Scikit-learn, etc.)
Strong skills in
Docker
,
Kubernetes
, and
cloud infrastructure automation
(Terraform/CloudFormation)
Experience building
CI/CD pipelines
(Jenkins, GitLab CI/CD, etc.)
Familiarity with tools like
MLflow
,
TensorFlow Serving

Must have skills

Strong experience in any two cloud technologies (Azure, AWS, GCP)

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