Domain Architect
Tasks
- Build operational data pipelines for ingestion preprocessing and feature engineering
- Collaborate with cross functional teams to deliver PoCs pilots and production rollouts
- Create reusable accelerators frameworks and automation tools
- Deploy and manage cloud native AI ML infrastructure with Kubernetes
- Design scale end to end ML pipelines using MLOps best practices
- Develop and operationalize LLM solutions with fine tuning prompt engineering and RAG
- Integrate agentic AI for autonomous decision making and workflow orchestration
Perks/Benefits
- N/A
Skills/Tech-stack
AI Pipelines | APIs | Airflow | Argo CD | CI/CD | Compliance | Distributed Systems | Drift Detection | Fairness | Fine Tuning | Flink | Governance | Hugging Face | Kafka | Kubeflow | Kubernetes | LLM Observability | Langchain | Llamaindex | MLOps | MLflow | Microservices | Model Deployment | OpenShift AI | Performance Monitoring | Prompt engineering | PyTorch | Python | RAG | SQL | Scikit-learn | Spark | TensorFlow | Vector Databases | Vertex AI | Vertex AI pipelines
Education
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