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Senior specialized ML role at a strong-brand company produces moderate applicant competition.
Requires deep applied ML science and platform experience, limiting cross-industry transferability.
Strict requirements include MSc/PhD, 8+ years, deep ML science, MLOps and platform experience.
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Lead design and architecture of large-scale, production-grade machine learning systems across the organization.
Own end-to-end delivery of complex ML solutions from algorithm design through deployment and operationalization.
Develop and deploy novel ML algorithms bridging scientific research and enterprise-scale production with measurable business impact.
Master's or PhD in a quantitative field such as Computer Science, Mathematics, Physics, or Engineering.
8+ years hands-on experience designing, prototyping, productionizing, and scaling complex ML systems.
Strong software engineering skills including distributed systems, scalable architectures, API design, and programming proficiency in Python, Go, Java, or C++.
Experience with MLOps, model lifecycle management, monitoring, large-scale data systems (e.g., Spark, Hadoop), and advanced statistical modeling.
Technical leader with proven ability to influence multiple teams and deliver organization-wide impactful ML products.
Expert in applied machine learning science with experience translating scientific research into deployable ML solutions.
Experience with advanced AI areas including generative AI, agentic AI, scientific computing, and building reusable ML platforms or frameworks.