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Now viewing: Sr Lead AI Data Architect - 100% onsite work and onsite interview
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Dice.com
Sr Lead AI Data Architect - 100% onsite work and onsite interview
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Job Description
Sr Lead AI Data Architect
- 100% onsite work and onsite interview
Skills - MLOPS
- Python
- Data Warehousing
- ETL
- LLM
- AWS
- MLOPS
- Python
- Data Warehousing
- ETL
- LLM
- AWS
- Summary 100% Onsite Role
- Onsite interview in MD Bachelor''''s degree in Computer Science, Data Science, Engineering, or a related field 15+ years of experience in software or data engineering, with at least 4 years focused on ML systems or MLOps in a production environment.
Demonstrated experience building or operating a shared/enterprise ML platform serving multiple teams or business units. Strong proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face).
Hands-on experience with MLOps tooling:
Kubeflow, MLflow, Airflow, or equivalent. Experience with cloud-native data and ML services on AWS. Working knowledge of LLMs, prompt engineering, and RAG architecture patterns. Experience with containerization and orchestration (Docker, Kubernetes). Strong understanding of data engineering concepts: pipelines, feature stores, data quality, and lineage. Employers have access to artificial intelligence language tools ("AI") that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.