Domain Architect
Tasks
- Build data ingestion preprocessing and feature engineering pipelines
- Collaborate with teams on PoCs pilots and rollouts
- Create reusable ML accelerators and automation tools
- Deploy cloud native AI and ML infrastructure
- Design and scale end to end ML pipelines
- Develop RAG applications
- Develop agentic AI workflows and orchestration
- Ensure ML governance and drift detection
- Implement model deployment and monitoring
- Operationalize GenAI and LLM solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AI Pipelines | API | Airflow | Argo CD | CI/CD | Compliance | Data Governance | Distributed Systems | Docker | Drift Detection | Fairness | Feature Engineering | Fine Tuning | Flink | GenAI | Kafka | Kubeflow | Kubernetes | LLM Observability | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Microservices | Model Monitoring | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | Scikit-learn | Spark | TensorFlow | Vertex AI | Vertex AI pipelines
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