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