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katalytx analytics

MLOps Engineer

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  • Posted 23 hours ago
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Job Description

Description

We are seeking a skilled ML Ops Engineer to join our team and drive the operationalization of machine learning models into production. The ideal candidate will have a strong background in machine learning pipelines, cloud platforms, and DevOps practices, ensuring that AI solutions are scalable, reliable, and secure.

Key Responsibilities

  • Design and implement robust and scalable ML pipelines on Azure (using Azure ML, Azure Data Factory, Azure DevOps, etc.)
  • Automate model training, validation, deployment and retraining workflows.
  • Manage and monitor models in production (versioning, drift detection, retraining triggers).
  • Implement CI/CD pipelines tailored for ML workloads.
  • Exposure on Integrating LLMs into applications with frameworks like LangChain.
  • Implementation of Orchestration framework for building and managing agentic System.
  • Collaborate with Data Science and Engineering teams to ensure smooth integration of models with applications and APIs.
  • Handle data ingestion and transformation pipelines using Azure Data Lake, Databricks, or Synapse.
  • Apply best practices in security, performance, and cost optimization in Azure cloud environments.
  • Troubleshoot and resolve deployment and model performance :
  • Bachelors in Engineering
  • 5+ yrs Experience in DevOps + MLOps
  • Experience in deploying ML models

(ref:hirist.tech)

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About Company

Job ID: 148876065

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