Why this role stands out
This Sr Lead AI Data Architect role offers a unique opportunity to shape cutting-edge ML systems within a reputable technology firm, fostering significant career growth. You'll thrive here if you possess deep expertise in MLOps, cloud platforms like AWS, and a passion for building enterprise-level AI solutions. Apply now to make a substantial impact and advance your career in a dynamic environment.
Quick overview
Job description
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.
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