# Senior Machine Learning (ML) Engineer (AI Insurtech)

Hiring organization: [Plug n Play Portfolio](https://career.thegoodapps.co/organizations/plug-n-play-portfolio)

Canonical page: https://career.thegoodapps.co/jobs/fb7ca546-ef2d-4b9d-99ed-9ef812192b64

Listed on Plug n Play Portfolio's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Senior
- Location: New York, NY
- Remote: yes
- Salary: 190000 – 225000 USD per year

## Summary

EvolutionIQ seeks a Senior Machine Learning Engineer to build production ML models for insurance claims, working on novel problems in time series forecasting and NLP with access to large structured and unstructured datasets. This role suits engineers who thrive on unsolved technical challenges and want to own the full lifecycle from data exploration through model deployment in a high-growth insurtech environment.

_Our summary, not Plug n Play Portfolio's wording._

## Skills named

Google BigQuery, Jupyter, Keras, Kubernetes, Pandas, Python, PyTorch, scikit-learn, SPARK, Terraform

## Required

- 2+ years as a Machine Learning Engineer or Data Scientist
- Production ML experience with scalable systems
- Proficiency in Python, Pandas, Jupyter
- Experience with ML frameworks (scikit-learn, Keras, PyTorch)
- Strong written and verbal communication skills
- Ability to translate business problems into ML problems

## Nice to have

- Experience with Claude Code and related tools
- Knowledge of Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, Kubernetes
- Ownership of deployed and maintained model-serving pipelines in production
- Advanced statistical modeling and probabilistic programming skills
- Clean code practices with unit tests and functional design patterns

Apply on Plug n Play Portfolio's site: https://job-boards.greenhouse.io/evolutioniq/jobs/6135244004