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MLOps Architect - AI Platform & Pipeline Ops Job Opening In Bengaluru – Now Hiring NTT


Job description

JOB DESCRIPTION

Key Responsibilities:
• Build and maintain ML pipelines for training, validation, deployment, and monitoring
• Implement CI/CD for ML artifacts, including data versioning and model registries
• Monitor model performance and drift; trigger retraining workflows as needed
• Manage infrastructure (cloud, containerized, on-prem) for high-availability AI services
• Collaborate with data, ML, and ops teams to deliver frictionless MLOps lifecycle
Required Skills:
• Strong knowledge of MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI)
• Proficiency in Python, Bash, Docker, and Kubernetes
• Familiarity with cloud infra (AWS/GCP/Azure) and IaC (Terraform, CloudFormation)
• Experience in model monitoring, logging, and alerting
• Bonus: experience in BPS / regulated domains with compliance-aware deployment

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your MLOps Architect Potential: Insight & Career Growth Guide


Real-time MLOps Architect Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for MLOps Architect in Bengaluru, India, highlighting market share and opportunities for professionals in MLOps Architect roles.

115253 Jobs in India
115253
7777 Jobs in Bengaluru
7777
Download Mlops Architect Jobs Trends in Bengaluru and India

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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at NTT adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

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2. Loyalty

3. Impartiapty

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5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

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NTT interview tips for MLOps Architect   AI Platform & Pipeline Ops

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