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Senior, niche ML/LLM role with moderate brand reduces applicant density.
Role demands deep ML/LLM and MLOps expertise, limiting cross-industry transferability.
Explicit 10+ years, leadership and deep ML/LLM requirements create highly rigid hiring filters.
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Lead end-to-end design, architecture, and implementation of large-scale machine learning programs spanning multiple projects.
Own the technical vision and roadmap for ML initiatives ensuring alignment with business goals and define success metrics for impact measurement.
Mentor technical team members, manage cross-functional stakeholder relationships, and oversee production excellence for scalable, reliable ML systems.
PhD or Master's in Computer Science, Machine Learning, Statistics, Mathematics, or related quantitative field (or equivalent practical experience).
10+ years of hands-on experience in machine learning or data science; 4+ years leading technical projects/programs with demonstrated business impact.
Expertise in ML frameworks (TensorFlow, PyTorch), proficiency in Python, ML infrastructure, MLOps, cloud platforms (AWS/GCP/Azure), and containerization (Docker, Kubernetes).
Work Experience Required: 10+ years in ML/data science including leadership experience.
Senior technical leader with deep expertise in ML/LLM systems design, deployment, and infrastructure at scale across complex, interconnected projects.
Experienced in managing cross-functional partnerships and translating ambiguous, strategic business challenges into measurable ML solutions.
Strong background in mentoring technical talent and driving innovation through research and cutting-edge ML techniques including LLMs and multi-agent systems.