HYDERABAD · FULLTIME
ML OPS engineer

Tata Consultancy Services
Hyderabad · onsite · Posted 13d ago
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Undisclosed6–10 yrsfulltimeHyderabad
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Section · 01
About this role
Role & responsibilities
- Deployment patterns: batch scoring, real-time endpoints, streaming where needed
- MLOps toolchain: MLflow, Docker, Kubernetes (or managed equivalents), CI/CD (Azure DevOps/GitHub Actions)
- Model monitoring: drift (data + concept), performance, alerting, retraining triggers
- Artifact management: model registry, feature store concepts, reproducibility
- Security/compliance-aware engineering: secrets management, access controls, audit logging
Nice-to-have
- Terraform/IaC, platform enablement experience
- Feature store implementation experience
Familiarity with three lines of defense” / governance in regulated environments
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Section · 02
Skills
DockerKubernetesartifact managmentBFSI DDomain knowledgefeature store implementationsterreformAzure DevopsModel MonitoringmlflowAzure Machine LearningML Model Deploymentci/cd pipelinemodel registrydrift detectionMachine Learning
Section · Company
About TCS

Tata Consultancy Services
IT Services & Consulting
608.0k+
employees
1968
58 years old
Mumbai, Maharashtra
India
About
An IT services and consulting firm offering business solutions, committed to driving innovation for global enterprises.
Industries
IT Services & ConsultingFinancial ServicesInternetEducation & TrainingBPO
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Work-life
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