Senior Data Scientist (AI Platform)

📋 Description Architect, build, and operate scalable inference services, APIs, backends Productionize AI/ML workflows with MLOps: versioning, deployment, monitoring Define evaluation frameworks for model quality, latency, cost Build reusable platform patterns and reference implementations Set and uphold AI engineering standards; mentor production ML practices Partner with infrastructure owner to move AI capabilities into production; onsite Tue/Wed 🎯 Requirements 6+ years in software/ML engineering with production ownership Proven ML/LLM prototyping-to-production experience Strong API/backend experience (Python), containers MLOps: deployment, versioning, monitoring, rollback Knowledge of embeddings, retrieval, semantic search, RAG Bonus: vector/graph DBs, observability, edtech experience 🎁 Benefits Competitive compensation plus ownership program Flexible remote/hybrid/in-office culture Generous time off including holidays Wellness programs and mental health support Learning and tuition reimbursement Technology and tools to do your best work