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Tier-1 employer plus in-demand ML/AI title with broad MLOps requirements creates moderate competition.
Requires specialized ML model-serving, MLOps and cloud expertise, limiting cross-industry transferability.
Senior lead requires Master's, production ML experience, MLOps, AWS and mentoring ability so filters are strict.
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Lead design, analysis, implementation, and integration of AI model serving solutions with a focus on performance, reliability, cost control, and operational readiness.
Lead technical initiatives including defining rollout/rollback strategies, performance/load/resiliency testing, and ensuring production operational readiness.
Mentor engineers and drive consistent engineering standards through design and code reviews, collaborating across multiple technical teams including Platform, MLOps, and Security.
Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
Strong experience delivering production-grade software systems with expertise in Python development.
Experience with containerized, microservice-based architectures, API design/versioning, AWS, and CI/CD pipelines.
Experience mentoring engineers and leading technical initiatives.
Experienced in designing scalable, reliable AI serving architectures including Generative AI use cases.
Operates effectively in cross-functional teams involving platform, security, and product stakeholders to deliver production-grade AI services.
Capable of balancing technical leadership, hands-on engineering, and operational readiness in complex AI and cloud environments.