GenAI & ML Engineer for Production AI Platform

Harvard Business School; Boston (MA); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Generous paid time off

Medical, dental, and vision insurance

Retirement plans with university contributions

Professional development opportunities

Job summary

Harvard Business School is looking for a Machine Learning and Generative AI Engineer to lead the development of cutting-edge AI products. In this role, you will collaborate with various teams to operationalize models and enhance existing AI solutions.

The ideal candidate should have expertise in AI lifecycles, model optimization, and software development, along with a strong educational background in technical disciplines. Join us in pushing the boundaries of education through technology!

Qualifications

• At least five years post-secondary education or relevant work experience.
• Two to three years of software development experience with Python and SQL.
• Experience building and deploying NLP deep learning model pipelines.

Responsibilities

• Architect and improve GenAI applications and systems.
• Automate ML pipelines and monitor performance.
• Develop templates and guides for onboarding new contributors.

Skills

Python

SQL

NLP and Deep Learning

PyTorch

TensorFlow

Model Guardrails

Big Data Tools (Spark, Kafka)

Cloud Providers (AWS, GCP, Azure)

Education

Bachelor's degree in mathematics, physics, computer science, engineering, or statistics

Tools

Linux

Airflow

Prefect

Step Functions

Job description

Harvard Business School is looking for a Machine Learning and Generative AI Engineer to lead the development of cutting-edge AI products. In this role, you will collaborate with various teams to operationalize models and enhance existing AI solutions.

The ideal candidate should have expertise in AI lifecycles, model optimization, and software development, along with a strong educational background in technical disciplines. Join us in pushing the boundaries of education through technology!