ML OPS - Senior Engineer

Iris Software

5 - 10 years

5 - 9 Lacs

noida

Posted:-1 days ago| Platform:

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Skills Required

python aiml machine learning artificial intelligence ml continuous integration kubernetes aws iam scikit-learn ci/cd microsoft azure aws sagemaker pyspark docker tensorflow ops data science gcp devops pytorch jenkins gitlab aws ci cd pipeline

Work Mode

Work from Office

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

Mandatory Competencies

Data Science and Machine Learning - Data Science and Machine Learning - AI/ML
Data Science and Machine Learning - Data Science and Machine Learning - Python
Data Science and Machine Learning - Data Science and Machine Learning - Pytorch
Beh - Communication
Development Tools and Management - Development Tools and Management - CI/CD
DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes)

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