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About the role
Design & Execute: Take ownership of the design and implementation of modern AI stack components, including data ingestion for AI/ML workloads and end-to-end model training and serving pipelines.
Scale & Optimize: Build and manage fault-tolerant AI platforms that scale economically. You will balance the maintenance of legacy models with the rapid development of advanced, scalable solutions.
Mentor & Collaborate: Provide technical mentorship to junior engineers and foster a collaborative environment. You will act as a bridge between data science and production engineering.
Drive Technical Excellence: Promote best practices in coding, testing, and MLOps. You thrive in ambiguous conditions by independently identifying opportunities to optimize model pipelines and improve AI workflows.
Cross-Functional Integration: Partner with data scientists, product managers, and software engineers to translate business needs into technical requirements and integrate AI solutions into production applications.
Implement Governance: Enforce model quality standards, integrity, and reliability. You will be responsible for implementing model lineage, fairness, and privacy controls within the automated pipelines.
Monitor & Measure: Build monitoring frameworks to track model performance and system KPIs, ensuring our AI initiatives drive measurable business outcomes.
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