Machine Learning and Generative AI Engineer, Digital Transformation
Core
Architect, build, and maintain a suite of Generative AI applications and underlying systems for Harvard Business School's digital transformation initiatives, serving students, alumni, faculty, and researchers.
Role type
Senior IC Machine Learning and Generative AI Engineer
Builds
Production GenAI applications, reusable frameworks, and a core application platform for sharing data and code.
Domain
Higher Education / Generative AI / Machine Learning
Deliverable
production ML models
Required skills
Python, SQL, PyTorch, TensorFlow, LoRA/QLoRA, RAG, LangChain, LangGraph, vector databases (Qdrant, Pinecone, Weaviate), Transformer architectures, CI/CD, unit testing, Linux, cloud providers (AWS, GCP, Azure), Spark, Kafka, Airflow, Prefect
Preferred skills
NLP, deep learning model pipelines, GPU cluster optimization, bias detection and mitigation, relational and NoSQL databases, big data tools
Technologies
PyTorch, TensorFlow, LangChain, LangGraph, Qdrant, Pinecone, Weaviate, Spark, Kafka, Airflow, Prefect, AWS, GCP, Azure
Responsibilities
Architect, build, and improve GenAI applications and systems; automate ML pipelines and optimize models; establish reusable frameworks for model building and deployment; implement guardrails, compliance rules, and oversight workflows; develop templates and sandbox environments; ensure safety and reliability of user-facing applications; mentor team members on production-grade ML code; monitor and resolve production issues.
Seniority
Senior, hands-on IC