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Senior Machine Learning Engineer (AI Insurtech)

EvolutionIQ

New This Week
ML EngineeringInsuranceMid-Level (3-5 yrs)HybridInsurance

Ideal for ML engineers wanting to apply their skills to transform insurance claims with AI — a high-impact, growing insurtech niche.

AI → Finance

Location

New York, NY

Salary Range

$190,000 – $225,000

Posted

Mar 26, 2026

Insider Signals

Beta

Company AI Context

AI Maturity

leader

AI Team Size

50-100

Tech Stack

PythonPyTorchGCPVertex AIBigQueryDagsterKubernetes

Recent News

EvolutionIQ raised Series B funding to expand AI-powered claims guidance platform

Build ML/LLM-driven features for EvolutionIQ's AI-powered insurance claims guidance product — combining time series forecasting and NLP for claims automation.

## About the Role EvolutionIQ is transforming the insurance claims process using AI. As a Senior ML Engineer, you will build ML/LLM-driven features for their claim guidance product, performing exploratory data analysis and developing scalable models for claim time series forecasting and NLP text understanding. ## Responsibilities - Build ML/LLM-driven features for the claim guidance product - Develop scalable machine learning models for claim time series forecasting - Perform NLP text understanding and document analysis for insurance claims - Own and deploy ML model-serving pipelines in production - Collaborate with cross-functional teams on data science initiatives ## Requirements - 3+ years of experience in ML engineering, especially in highly scalable production environments - Proficiency in Python, Pandas, Jupyter - Experience with ML frameworks (sklearn, Keras/PyTorch, tuning frameworks) - Experience with production ML systems ## Preferred Qualifications - Experience with Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, Kubernetes - Owned and deployed model-serving pipelines in production - Insurance or healthcare domain experience

Skills & Technologies

PythonPyTorchsklearnNLPTime series forecastingGCPProduction ML systems

Best Backgrounds

  • machine learning engineering
  • data science
  • NLP engineering
  • software engineering

Related Titles to Explore

  • ML Engineer
  • Applied Scientist
  • NLP Engineer
  • Data Scientist

Career Bridge Playbook

Beta

Career paths into this role

ML engineer
data scientist
NLP engineer
backend engineer

Where this role leads

Staff ML Engineer
ML Lead - Insurance
Head of Data Science - Insurtech
Principal Scientist

Transition Difficulty

medium

Key Skill Gaps to Close

  • insurance domain knowledge
  • claims processing workflows
  • regulatory compliance basics

Skills used in this role

Technical

pythonpytorchsklearnnlptime-series-forecastinggcpkubernetesproduction-ml

Domain

insurance-claimsinsurtechhealthcare-adjacent

Soft Skills

cross-functional-collaborationtechnical-communication

Interested in this role?

Apply directly on the company's career page.

Apply Now

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