Interesting Job Opportunity: Machine Learning Operations Engineer - Data Science

Du
Department Icon Data Science Analytics & Machine Learning
Posted: 3 years ago
4-7 years
Mumbai, Maharashtra, India
Data Science Analytics & Machine Learning
Work From Office
Full Time
Posted: 3 years ago
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Job Description

Responsibilities
  • Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality.
  • Design and implement cloud solutions, build MLOps on the cloud (preferably AWS)
  • Work with workflow orchestration tools like Kubeflow, Airflow, Argo, or similar tools
  • Data science models testing, validation, and test automation.
  • Communicate with a team of data scientists, data engineers, and architects, and document the processes.
Eligibility :
  • 4 - 7 years of experience in MLOps
  • Rich hands-on experience of 3+ years in writing object-oriented code using python
  • Min 3 years of MLOps experience (Including model versioning, model and data lineage, monitoring, model hosting and deployment, scalability, orchestration, continuous learning, and Automated pipelines)
  • Understanding of Data Structures, Data Systems, and software architecture
  • Experience in using MLOps frameworks like Kubeflow, MLFlow, and Airflow Pipelines for building, deploying, and managing multi-step ML workflows based on Docker containers and Kubernetes.
  • Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.)
(ref:hirist.com)

Skills

AutomationData ScienceDeep LearningMachine LearningOperationsQuality

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