ML Ops

1 week ago


Noida, Uttar Pradesh, India Iris Software Full time ₹ 15,00,000 - ₹ 25,00,000 per year

6-8 years of over all experiencewith 3+ years in ML Opsengineering.

Strong proficiency in Python, with experience in machine learning librariessuch as TensorFlow, PyTorch, scikit-learn, etc.

Extensiveexperience with ML Ops frameworkslike DataIku (MUST Have),Kubeflow, MLflow, TensorFlow Extended (TFX), .

Strong experience in deploying and managing machine learning models on AWS environments

Proficiency in managing CI/CD pipelinesfor ML workflows using tools such as Jenkins, GitLab, CircleCI, etc.

Hands-on experience with containerization(Docker) and orchestration(Kubernetes) technologies for model deployment.

Mandatory skills : SageMaker, DataIku, Python, PySpark, AWS Services ; Good to have: AWS CDK

*Mandatory Competencies*

Data Science - Machine Learning (ML)

Python - Python

Beh - Communication

DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Jenkins

DevOps - Github

DevOps - Kubernetes

Big Data - Big Data - Pyspark

Cloud - AWS - AWS Lambda,AWS EventBridge, AWS Fargate

Data Science and Machine Learning - Data Science and Machine Learning - AI/ML

Data Science and Machine Learning - Data Science and Machine Learning - Python

DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - GitLab,Github, Bitbucket

DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes).


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