ML OPS - Senior Engineer
- Iris Software
- 5 - 10 years
- Noida, Gurugram
- 3 months ago
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Job Description
- 5+ years of experienceinML Opsengineering or a related field.
- Strong proficiency inPython, with experience inmachine learning librariessuch asTensorFlow,PyTorch,scikit-learn, etc.
- Extensive experience withML Ops frameworkslikeKubeflow,MLflow,TensorFlow Extended (TFX),KubeFlow Pipelines, or similar.
- Strong experience in deploying and managing machine learning models incloud environments(AWS, GCP, Azure).
- Proficiency in managingCI/CD pipelinesfor ML workflows using tools such asJenkins,GitLab,CircleCI, etc.
- Hands-on experience withcontainerization(Docker) andorchestration(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)
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Search EngineerEmployement Type: Full timeContact Details:
Company: Iris SoftwareLocation(s): Noida, Gurugram+ View Contact
Keyskills: docker kubernetes business automation it services logistics machine learning financial services containerization automation quality engineering data science gcp devops aws aws services
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