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Senior, niche ML/LLM specialization lowers applicant density; remote openness modestly increases competition.
High: requires deep production ML/LLM, GenAI, and platform expertise not easily transferable across industries.
Explicit 8+ years, mandatory production ML/LLM and platform experience plus governance, security, and compliance requirements.
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Lead architecture and delivery of complex production AI and ML systems across classification, document intelligence, retrieval, and GenAI platforms.
Build reusable AI platform components (e.g., RAG systems, agent workflows, APIs) that accelerate product team feature delivery.
Drive improvements in evaluation, governance, reliability, security, observability, and cost efficiency of AI/ML workloads while mentoring engineers and raising technical standards.
Bachelor's degree in Computer Science, Engineering, or related technical field.
8+ years of experience in machine learning engineering, applied ML, NLP, GenAI, information retrieval, or production AI systems.
Strong software engineering skills with Python and experience in backend services, APIs, distributed/cloud-native systems.
Experience shipping production ML or LLM systems with hands-on knowledge of RAG, embeddings, prompt engineering, evaluation, classification, and related modern AI techniques.
Experienced technical leader who can own end-to-end AI/ML system design, architecture, and production delivery across multiple stakeholders.
Demonstrates strong operational ownership including evaluation frameworks, governance, security, cost optimization, and scalability in AI/ML production systems.
Skilled mentor who raises technical bar through architecture reviews, engineering standards, and sharing reusable AI platform patterns across teams.