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Director of Machine Learning (AI/ML Leadership & Production Systems)

Jobgether • United State
Remote
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Lead the AI/ML organization for an advanced immigration case management platform, focusing on document understanding, NLP, retrieval, and agentic automation. Scale ML engineering, define technical strategy, and transition experimental models to production-grade systems. Own build-versus-buy decisions, cost optimization, and measurable business outcomes while mentoring senior ML engineers and collaborating cross-functionally.

Key Highlights
Build and scale an ML engineering organization with hiring, technical leadership, and ownership models
Define technical strategy for document AI, NLP, retrieval, and agentic systems in a regulated environment
Transition ML systems from experimentation to production with governance, testing, and cost optimization
Key Responsibilities
Build and scale the ML engineering organization, including hiring, team structure, and mentorship
Establish technical leadership and roadmap governance for production-grade ML delivery
Define and execute technical strategy for document AI, NLP, retrieval, and agentic systems
Lead build-versus-buy evaluations for ML capabilities, balancing accuracy, cost, latency, and compliance
Design retrieval and context-optimization strategies (e.g., RAG, agentic cross-validation) for cost-efficient LLM inference
Own ML systems architecture, including model serving, evaluation pipelines, and data infrastructure
Establish measurable quality standards and LLM evaluation frameworks for production deployment
Drive continuous optimization of model performance, cost, quality, and throughput
Partner with Product, Legal Operations, and Case Management to translate workflows into ML capabilities
Report on ML organization health, delivery progress, and cost/quality metrics to leadership
Technical Skills Required
Machine Learning Natural Language Processing (NLP) Large Language Models (LLMs)
Benefits & Perks
$200,000–$245,000 annual salary
100% remote work-from-home within the United States
Opportunity to build and lead an AI/ML organization with significant ownership
Nice to Have
Experience in healthcare, legal, or financial services with sensitive documents
Patents, peer-reviewed publications, or conference presentations in ML/AI
Ph.D. in Computer Science, Machine Learning, or related field

Job Description

The Director, Machine Learning will build and lead the AI/ML organization supporting an advanced immigration case management platform. The role focuses on document understanding, information extraction, NLP, retrieval, and agentic automation across complex case documents and correspondence. You will scale the ML engineering organization, establish technical direction, and create the processes required to move from experimentation to reliable production delivery. You will also own critical decisions around build versus buy, model architecture, evaluation, cost optimization, and production quality. Working closely with Product, Legal Operations, Case Management, and engineering leadership, you will translate complex workflow requirements into impactful ML capabilities. This is a hands-on leadership opportunity for an experienced ML leader who can combine organizational scale with deep technical expertise.
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