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Medium — strong company and metro presence but senior, specialized ML/AI skills limit applicant pool.
High — role requires specialized deep learning, MLOps, and enterprise AI architecture, limiting cross-industry transferability.
High — explicit 10+ years requirement plus mandatory deep learning, MLOps, and production architecture experience.
Define, own, and evolve end-to-end architecture for o9's AI-heavy enterprise platform ensuring scalability, security, reliability, and performance.
Lead design and productionalization of advanced AI systems, including deep learning models, MLOps practices, and data pipelines handling large structured and unstructured datasets.
Serve as principal technical leader by mentoring engineers, guiding architecture reviews, setting engineering standards, and translating complex business needs into scalable technical strategies.
10+ years in software architecture and large-scale production systems, including 5+ years in deep learning and data engineering.
Proficiency in modern deep learning frameworks and lifecycle management of AI models.
Expertise in Python backend development, algorithms, distributed systems, and large-scale system design.
Experience with large-scale data engineering, unstructured data processing, and distributed computing frameworks.
Technical leader comfortable operating at the intersection of AI, software engineering, and data engineering with hands-on deep learning model deployment experience.
Strategic thinker able to balance short-term delivery with long-term platform evolution and influence cross-team architectural decisions.
Experienced mentor who leads standards and best practices in MLOps, scalable data pipelines, and advanced AI applications within enterprise environments.