GM - IT Analytics
INR 2000K-5000K (estimate) Senior-level Full Time
Tasks
- Build low-latency data pipelines
- Deploy AI microservices on Kubernetes
- Design MLOps and AIOps pipelines
- Design enterprise AI and GenAI architecture
- Develop retrieval-augmented generation frameworks
- Establish AI governance and compliance controls
- Evaluate and select machine learning and LLM models
- Implement Feature Stores
- Implement output validation and safety guardrails
- Integrate AI applications with Cloudera Data Platform
- Manage model registry and lifecycle versioning
- Optimize LLM latency and cost
- Perform prompt engineering and agent workflows
- Set up monitoring, logging, and observability
Perks/Benefits
- N/A
Skills/Tech-stack
Ansible | Apache Iceberg | CI/CD | Cloudera Data Platform | Data platform | Docker | Git | GitHub Actions | GitLab CI | Grafana | HDFS | Hive | Hugging Face | Impala | Inference Server | Jenkins | Kafka | Kubernetes | Langchain | Llamaindex | MLflow | Prometheus | PySpark | PyTorch | Python | SQL | Spark | TensorFlow | Terraform | Triton Inference | Triton Inference Server | VLLM | Weights and Biases
Education
N/A
Roles
AI | AI Architect | Architect
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