דרושים » תוכנה » Customer-facing Data Scientist

We are looking for a Principal Backend Engineer .
Responsibilities :
As a senior backend developer on our team, you will help us build a world class scalable backend platform. You will be responsible for the end-to-end feature lifecycle: starting from design and architecture, through implementing, testing, and releasing the feature. You will also get the chance to use your experience to help us make our product better, by taking part in architecture design and technological leadership.

We are looking for a Senior Backend Engineer.
Responsibilities :
As a senior backend developer on our team, you will help us build a world class scalable backend platform. You will be responsible for the end-to-end feature lifecycle: starting from design and architecture, through implementing, testing, and releasing the feature. You will also get the chance to use your experience to help us make our product better, by taking part in architecture design and technological leadership.

We are looking for an enthusiastic Junior Software Developer with an interest in GenAI technologies to join our innovative team. The ideal candidate will have foundational knowledge of Python programming, database concepts, and experience with Retrieval Augmented Generation (RAG). You will work alongside experienced developers to build and maintain cloud-native applications, gaining valuable experience with cutting-edge GenAI technologies in a supportive learning environment.
What You'll Do: Assist in developing and maintaining Python -based microservices with AI capabilities under guidance from senior team members. Learn to implement and optimize PostgreSQL database queries for AI applications. Support the development of RESTful APIs and contribute to integrating AI models into our systems. Gain hands-on experience working with foundation models from various providers in the AWS ecosystem. Apply prompt engineering techniques and best practices for GenAI applications. Contribute to building reusable components for AI model integration. Assist with data processing pipelines between knowledge bases and AI models. Participate in CI/CD processes for testing and deployment of AI systems. Develop understanding of responsible AI practices and implementation strategies.

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. we have 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.

We are seeking a highly skilled and motivated Machine Learning Engineer to join our Data Science Engineering team. The ideal candidate will have a deep understanding of machine learning infrastructure and solutions, enabling data scientists and engineers to efficiently develop, deploy, and maintain models in production by delivering a scalable and high-quality solution. This role requires a combination of technical expertise, strong problem-solving skills, and the ability to collaborate effectively with cross-functional teams.
Key Responsibilities:
Develop and maintain machine learning infrastructure and solutions to support the efficient development, deployment, and maintenance of models in production.
Collaborate with data scientists, engineers, and subject matter experts to deliver high-quality, production-ready machine learning models.
Design and implement software architecture for machine learning solutions.
Optimize model deployment and serving using industry best practices with CPU, GPU, and external APIs.
Work with containerized environments such as Kubernetes and Docker.
Utilize AWS for cloud-based machine learning solutions.
Conduct unit testing and ensure continuous integration and continuous deployment (CI/CD) practices are followed.
Collaborate with the DevOps team to establish best practices for MLOps.
Work in a production environment and closely with data science teams to ensure seamless model deployment and maintenance.
Stay updated with the latest advancements in machine learning and related technologies.

We are looking for a Senior ML Engineer.
Responsibilities:
Work on core data and machine learning infrastructure, which is at the heart of offering. You will create innovative solutions for data ingestion and normalization from multiple data sources, feature engineering and feature selection, as well as actual model training and evaluation. All in large scale and completely automated.

We are looking for a Principal ML Engineer.
Responsibilities:
Work on core data and machine learning infrastructure, which is at the heart of offering. You will create innovative solutions for data ingestion and normalization from multiple data sources, feature engineering and feature selection, as well as actual model training and evaluation. All in large scale and completely automated.

We're seeking a Senior Full Stack Engineer with a backend orientation to take the development of high-performance, scalable, and distributed systems powering our analytics platform. You will drive the implementation of backend and frontend systems and contribute to data-driven capabilities at scale. Youll collaborate with product managers and other engineers to bring innovative features to life and deliver high-impact solutions to our customers.



RESPONSIBILITIES

Design and develop backend architecture for scalable, high-performance systems
Build a next-generation analytics web app on React
Build robust APIs and data services to power a next-generation analytics platform
Work with distributed systems, databases, and cloud infrastructure to ensure reliability and speed
Maintain and optimize backend & frontend services, pipelines, and application logic
Participate in code reviews, design discussions, and architectural planning

As a Senior Back-End Developer, you will be responsible for designing, building, and optimizing the core backend systems that power our B2B social media management platform. You will develop scalable and high-performance solutions, contribute to architectural decisions, and collaborate closely with cross-functional teams to deliver impactful features. If you thrive in solving complex challenges, enjoy working with modern backend technologies, and are passionate about building robust and efficient systems, we want to hear from you!

Responsibilities:
Develop and maintain high-quality software solutions, from planning and design to testing, deployment, and maintenance.
Actively participate in technical discussions and contribute to architectural decisions.
Write clean, efficient, and scalable code while ensuring best practices in software development.
Collaborate closely with cross-functional teams, including Product, Design, and other developers, to deliver features effectively.
Provide technical guidance, share knowledge, and mentor other developers to improve overall team expertise.

We are looking for a talented Automation?engineer to join our team in a supportive and collaborative working environment that encourages growth and innovation. Your role will be central to our success and the delivery of high-quality products. You will collaborate with team members—including developers, product managers, and QA professionals—to ensure a seamless workflow and enhanced customer satisfaction. This role is ideal for a highly skilled individual passionate about building scalable and reliable infrastructure and thrives in a fast-paced, innovative environment. What you’ll do: Leverage your expertise to develop and refine automation tests and infrastructure, consistently expanding the coverage of automation test scenarios. Execute test automation scenarios and meticulously analyze the results, playing a pivotal role in maintaining our high standards. Foster strong collaboration with colleagues across all departments. Engage actively in code reviews, providing valuable feedback on core company features that affect overall quality and customer experience. Keep up-to-date with industry trends and best practices in automation testing to consistently improve our processes and results

Position Intro:
Earnix is 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. Earnix 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.