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Converge Insurance

Machine Learning Engineer

Reposted 4 Days Ago
Remote
Hiring Remotely in United States
135K-185K Annually
Senior level
Remote
Hiring Remotely in United States
135K-185K Annually
Senior level
Implement and optimize production-ready analytics code, maintain Python repositories, research data sources, build predictive models, and collaborate with teams.
The summary above was generated by AI

About the Role:

You will be part of the Converge Engineering team, reporting to the Head of Engineering.

You’ll be implementing and optimizing innovative production ready analytics code as well as maintaining Python repositories and building tests.

Responsibilities:

  • Transform specs into efficient, production ready python code as part of an agile 3 week sprint development process
  • Explore new data-sources and their applicability to the Converge platform
  • Extract and create data to productionize theoretical models and analytics components
  • Research and build predictive models for the probability of cyber attack, and other data driven applications in the platform
  • Analyze data and derive insights
  • Continuously maintain, test and improve models and provide concise reporting of results
  • Create and orchestrate microservices via Airflow and Docker containers
  • Continuously test and deploy microservices via CI / CD
  • Refactor, unit-test, and maintain Python codebase
  • Work with different team members and stakeholders representing all areas of the business
  • Regularly prepare and present content to stakeholders within Converge
  • Assist with platform development more broadly when required

Qualifications:

  • 5+ years professional experience in ML Engineering or related field (Data Science, AI, Modeling, etc.) using Python
  • BS in Computer Science or relevant field
  • Competency in ML python packages such as Pandas, NumPy, PySpark, scikit-learn, Anaconda, TensorFlow, etc.
  • Proficiency with feature stores, Graph databases, SQL, NoSQL, Data Lakes and other data storage technologies
  • Experience with data visualization tools
  • Applied statistics skills, such as regression, explainability, distributions, and statistical testing
  • Understanding of standard machine learning algorithms and graphical modeling, and having successfully applied several in the correct context
  • Proficient understanding of version control best practices using Git
Physical Requirements
  • Prolonged periods sitting at a desk and working on a computer.
  • Ability to lift up to 15 pounds occasionally.
  • Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Compensation & Benefits
  • Pay Range: $135,000 – $185,000 annually (commensurate with experience and location).
  • Total Compensation Context: This role may be eligible for annual performance bonuses and equity participation.
  • Benefits Overview: Converge provides comprehensive health benefits (medical, dental, vision), a 401(k) plan with employer contribution, and flexible paid time off (PTO).
EEO Statement

Converge Insurance is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, color, religion, sex (including pregnancy, gender identity, or sexual orientation), national origin, age, disability, veteran status, or any other legally protected characteristic.

Top Skills

Airflow
Anaconda
Docker
NoSQL
Numpy
Pandas
Pyspark
Python
Scikit-Learn
SQL
TensorFlow

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