ML Ops Engineer

Iris Software

5 - 8 years

10 - 20 Lacs

noida pune gurugram

Posted:13 hours ago| Platform:

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Skills Required

machine learning aws tensorflow pyspark ci/cd scikit-learn sql jenkins pytorch docker gcp python kubernetes

Work Mode

Hybrid

Job Type

Full Time

Job Description

5+ years of experience
in
ML Ops
engineering or a related field.
Strong proficiency in
Python
, with experience in
machine learning libraries
such as
TensorFlow
,
PyTorch
,
scikit-learn
, etc.
Extensive experience with
ML Ops frameworks
like
Kubeflow
,
MLflow
,
TensorFlow Extended (TFX)
,
KubeFlow Pipelines
, or similar.
Strong experience in deploying and managing machine learning models in
cloud environments
(AWS, GCP, Azure).
Proficiency in managing
CI/CD pipelines
for ML workflows using tools such as
Jenkins
,
GitLab
,
CircleCI
, etc.
Hands-on experience with
containerization
(Docker) and
orchestration
(Kubernetes) technologies for model deployment.
Skills : SageMaker, PySpark, AWS Services ; Nice to have: MLOps

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