We are looking for a Full Stack Developer with Machine Learning Experience to join our A2A (Algorithm 2 Application) team in the data science group. As a Full Stack in this team, you will play a key role in taking complex Machine Learning models and connecting them to a working app using Full-Stack Python abilities. This role is ideal for a skilled and experienced individual passionate about software development, Machine Learning, and MLOps.
We are looking for a Full Stack Developer with a strong focus on frontend development to join our A2A team. This role involves close collaboration with data scientists and ML engineers to integrate their Machine Learning packages into production-ready web applications and services. You will be part of an Agile team working in sprints, building high-quality, tested code, and participating in our CI/CD processes using Jenkins.
What youll do: Develop and maintain high-quality code for both frontend and backend components. Contribute to the migration from Dash to React, including developing new React components and modernizing the frontend stack. Work closely with data scientists to integrate ML packages into user-facing applications and services. Write and maintain unit tests to ensure code quality and reliability. Participate in system design and architectural discussions. Contribute to CI/CD pipelines and improve automation processes.
We are looking for a Full Stack Developer with a strong focus on frontend development to join our A2A team. This role involves close collaboration with data scientists and ML engineers to integrate their Machine Learning packages into production-ready web applications and services. You will be part of an Agile team working in sprints, building high-quality, tested code, and participating in our CI/CD processes using Jenkins.
What youll do: Develop and maintain high-quality code for both frontend and backend components. Contribute to the migration from Dash to React, including developing new React components and modernizing the frontend stack. Work closely with data scientists to integrate ML packages into user-facing applications and services. Write and maintain unit tests to ensure code quality and reliability. Participate in system design and architectural discussions. Contribute to CI/CD pipelines and improve automation processes.
Position Intro:
we are the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. our company has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.
Requirements:
You'll do it using: 23 years of experience in Full-Stack development, with a significant emphasis on frontend work. Hands-on experience with React or other modern frontend frameworks/libraries (Angular, Vue, etc.). Experience developing with Python. Experience writing unit tests. Familiarity or interest in using AI tools for development acceleration (AI coding agents). Basic understanding of AI/ML concepts and workflows (e.g., consuming ML APIs or packages). Strong self-learning skills and the ability to work effectively in a team environment.
Advantages Experience with Jenkins and CI/CD pipelines. Experience with MLOps or DevOps practices. Knowledge of AWS (cloud infrastructure, services, or deployment).
You'll do it using: 23 years of experience in Full-Stack development, with a significant emphasis on frontend work. Hands-on experience with React or other modern frontend frameworks/libraries (Angular, Vue, etc.). Experience developing with Python. Experience writing unit tests. Familiarity or interest in using AI tools for development acceleration (AI coding agents). Basic understanding of AI/ML concepts and workflows (e.g., consuming ML APIs or packages). Strong self-learning skills and the ability to work effectively in a team environment.
Advantages Experience with Jenkins and CI/CD pipelines. Experience with MLOps or DevOps practices. Knowledge of AWS (cloud infrastructure, services, or deployment).
This position is open to all candidates.
