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Full-Time

Senior Software Engineer

ML Ops

Confirmed live in the last 24 hours

EvolutionIQ

EvolutionIQ

51-200 employees

AI software for insurance claims handling

Data & Analytics
Fintech
AI & Machine Learning
Financial Services

Compensation Overview

$190k - $225kAnnually

+ Equity Plan

Senior, Expert

New York, NY, USA

Category
Backend Engineering
Software Engineering
Required Skills
Kubernetes
Python
Airflow
Tensorflow
Docker
Data Analysis
Google Cloud Platform
Requirements
  • Strong expertise in developing, deploying, and maintaining scalable machine learning pipelines and infrastructure in production environments, ideally using Google Cloud Platform (GCP) services
  • Proficiency in Python for backend development, with experience in ML libraries such as TensorFlow, PyTorch, and Scikit-learn
  • Experience in building and maintaining CI/CD pipelines and orchestration tools (e.g., Airflow, Kubeflow, Dagster) for machine learning and data processing workflows, or similar tools
  • Strong skills in containerization (Docker, Kubernetes) and model serving frameworks (e.g., TensorFlow Serving, MLflow) for optimizing performance and scalability
  • Strong problem-solving skills, with experience in monitoring, troubleshooting, and improving the performance of ML models and data pipelines, with a focus on security, compliance, and data privacy
  • Excellent communication and collaboration skills, with the ability to work effectively in diverse, cross-functional teams
  • A commitment to continuous learning and development, with an openness to explore new tools, techniques, and approaches in the rapidly evolving field of MLOps
Responsibilities
  • Design, develop, and automate scalable infrastructure and pipelines for training, validation, and deployment of machine learning models, while also managing large-scale data processing and ensuring smooth integration with CI/CD workflows
  • Implement comprehensive monitoring and alerting systems to track the performance of models and data pipelines, detect issues such as drift and data quality problems, and manage model lifecycle tasks like retraining and versioning
  • Optimize model serving and data processing infrastructure for high availability, low latency, and cost-efficiency
  • Collaborate with the ML Platform team and other cross-functional teams to align infrastructure and data pipelines with the latest company standards and client requirements
  • Explore opportunities to engage in feature engineering and other machine learning development activities to enhance model performance, with the option to contribute more directly to these areas if you have an interest
  • Contribute to a culture of inclusivity and collaboration by actively participating in team discussions, providing constructive feedback, and supporting the professional growth of colleagues through mentorship and knowledge sharing

EvolutionIQ creates software for the insurance industry that enhances the claims handling process using artificial intelligence. The software helps insurance examiners and adjusters identify the right claims to focus on, improving efficiency and accuracy. Unlike competitors, EvolutionIQ's AI can analyze bodily injury claims like a medical expert, allowing for quicker assignment to specialized teams and predicting claim outcomes earlier. The company's goal is to streamline the claims process, reduce stress for claimants, and facilitate their return to work.

Company Stage

Series B

Total Funding

$43.3M

Headquarters

New York City, New York

Founded

2019

Growth & Insights
Headcount

6 month growth

8%

1 year growth

44%

2 year growth

216%
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Simplify's Take

What believers are saying

  • Partnerships with major insurers like Lincoln Financial Group and Prudential validate EvolutionIQ's effectiveness and market acceptance.
  • The introduction of MedHub enhances the platform's capabilities, making it indispensable for claims professionals and improving claimant experiences.
  • Recognition as a 'Best Workplace' by Inc. Magazine highlights a positive company culture, which can attract top talent and drive innovation.

What critics are saying

  • The niche focus on insurance claims handling may limit market expansion opportunities.
  • Dependence on partnerships with large insurers could pose risks if these relationships falter or if insurers develop in-house solutions.

What makes EvolutionIQ unique

  • EvolutionIQ's AI-driven software specifically targets claims handling in the insurance industry, unlike broader AI applications by competitors.
  • Their SaaS model ensures continuous revenue and allows for regular updates and improvements, providing a competitive edge in technology and service.
  • The software's ability to predict claim trajectories and improve Return to Work outcomes sets it apart in the insurance sector.