Job Description
Modeling & AI System Development:
- Plan, design, develop, and deploy end-to-end predictive, prescriptive, and generative models.
- Build production-ready ML and GenAI applications using Python, scikit-learn, XGBoost, PyTorch, NetworkX, and related tools.
- Develop and evaluate LLM-driven applications, retrieval systems, embeddings, fine-tuning strategies, and agent workflows.
MLOps & Productionization:
- Own the full lifecycle of model deployment using Metaflow, Airflow, containerization (Podman/Docker), FastAPI, and related tooling.
- Collaborate with MLOps and DevOps teams to design scalable workflows, CI/CD pipelines, monitoring systems, and model governance processes.
Leadership, Collaboration & Influence:
- Provide technical mentorship and thorough code/model reviews to other data scientists.
- Drive adoption of new libraries, tools, and engineering practices when appropriate.
- Collaborate closely with engineering, product, MLOps, DevOps, Marketing, and Insurance leaders.
About Hagerty
Hagerty is an automotive enthusiast brand and the world’s largest membership organization committed to saving driving for future generations. It's a rapidly growing company that values a winning culture and invests in every single team member.