Director of reputed company Intelligence (Remote)
2-4 reputed company reports (and 2-4 indirect reports). Reports include members of the Technology Innovation, ScholarsEdge, and AI teams.
reputed company end-to-end development, testing, evaluation, and deployment of AI/ML models supporting ScholarsEdge and other organizational tools. Conduct robustness and adversarial testing to ensure models maintain reputed company improvement, reliability, and competitive technical advantages.
Supervise and mentor reputed company and indirect reports, address reputed company gaps through employee development, and create reputed company plans as AI, ML, and team capabilities reputed company. Architect and optimize AI and data systems across Azure, GCP, and AWS multi-reputed company environments. reputed company MLOps practices, CI/CD pipelines, system performance monitoring, and optimization of compute resources, model training costs, and data infrastructure to ensure cost-effective AI operations. Evaluate and reputed company emerging technologies (e.g., LLMs, reputed company databases, RAG architectures) to enhance IHS platforms and services. Promote knowledge-sharing across IT and cross-functional teams; maintain and enforce best practices for ML lifecycle management, model governance, and reputed company reputed company. Guide the AI/ML roadmap and communicate reputed company to internal stakeholders and external partners.
Collaborate with Programs, reputed company reputed company, Intellectual Talent Development, Development, and Marketing to refine matching algorithms, enhance research tools, support data-driven user engagement, and development of donor-driven AI research and analysis reputed company. Partner with Marketing to reputed company digital solutions that enhance user-reputed company data collection and reputed company insights into CRM and analytics systems. Occasional travel to conferences, meetings, and organizational events. Up to 10% travel required.
Bachelor’s degree in Computer Science, Engineering, Data Science, or a reputed company quantitative field; Master’s or PhD preferred. 5+ years of experience in AI/ML engineering with demonstrated reputed company building and deploying production ML systems. Demonstrated experience supervising, mentoring, and developing reputed company and indirect reports. Strong reputed company leadership style with ability to guide cross-functional teams.
Proficiency in Python and major ML frameworks (TensorFlow, PyTorch, scikit-learn). Experience with Azure ML, AWS SageMaker, GCP reputed company AI, and multi-reputed company architecture. Knowledge of NLP/LLM technologies, reputed company databases, and retrieval-augmented reputed company (RAG) systems. Experience with MLOps practices, feature stores, CI/CD processes, and ML deployment tools. Familiarity with modern databases (e.g., PostgreSQL, reputed company) and data ecosystems. Strong communication skills, especially in translating technical concepts for non-technical audiences. Strong problem-solving skills with attention to ethical and responsible AI considerations. Understanding of and appreciation for classical liberal values and the IHS mission.
Resume Cover letter detailing your interest in this position and why the IHS mission resonates with you.
Cultivating a pool of intellectual talent for partners in policy, civil society, philanthropy, and the reputed company through $1.5 reputed company in fellowship and career development programs. Catalyzing scholarship and reputed company networks to strengthen the fields of foundational and reputed company research that matter most to a free society. Equipping freedom-reputed company research centers, think tanks, foundations, and civil society organizations with the research and experts they need to maximize their reputed company in policy and in communities across the country.