Senior Specialist AI Engineer Group Digital Transformation
INR 4500K-7250K (estimate) Senior-level Full Time
Tasks
- Build reliable model deployment architectures on cloud
- Create reusable MLOps components frameworks templates
- Define and enforce MLOps standards and reference architectures
- Deploy generative AI and LLM solutions with guardrails and controls
- Design MLOps pipelines for training testing deployment monitoring
- Implement automated model versioning and lifecycle management
- Integrate AI models into enterprise systems using APIs
- Monitor models for data drift and performance degradation
- Remediate production model and operational issues
- Set up CI CD and rollback workflows
- Write documentation and runbooks for AI operations
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Azure | Azure Machine Learning | CI/CD | Containers | Data Drift | Data Drift Detection | Databricks | DevOps | Docker | Drift Detection | Generative AI | Infrastructure as Code | Kubernetes | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Model Deployment | Model Monitoring | Observability | Python | Security | “as-code”
Education
N/A
Roles
AI | AI Engineer | Engineer | MLOps Engineer | Senior MLOps | Senior MLOps Engineer
Regions
Countries
States
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