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MLOps Enginner Senior @ Orcapod

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 MLOps Enginner Senior

Job Description

Deploy and monitor ML models in production. Build CI/CD pipelines and manage infrastructure for scalable AI operations.

Deploy and monitor ML models

  • Build CI/CD pipelines for ML workflows
  • Manage model registries and feature stores
  • Ensure system reliability and automate retraining

Must have:Docker/Kubernetes, GitHub/GitLab CI, MLflow, model deployment


good to have:

AIOps tools, automation scripting, feature store management

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Software Development - Other
Employement Type: Full time

Contact Details:

Company: Orcapod Consulting
Location(s): Pune

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Keyskills:   MLOps Docker Github MLflow Kubernetes model deployment Gitlab

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₹ 12-16 Lacs P.A

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Orcapod

Industry & Services: Provides product engineering and digital transformation services concept-to-market, “chip-to-cognition” R&D — for sectors like Semiconductors, Automotive, Industrials, Smart Devices & Wearables, Enterprise-grade Devices, Satcom, Telecom, Transportation, Co...