We're looking for a rock-star developer whos passionate about our mission of revolutionizing insurance through tech and AI.
As a Backend Engineer on our ML Platform team, youll play a crucial role in architecting and building our cutting-edge machine learning platform to support the end-to-end machine learning lifecycle. You will drive business-wide ML projects from an engineering perspective, leveraging cloud-native technologies to empower our data scientists and engineers.
In this role you'll:
Design and develop an internal ML platform to support data scientists in their research and development efforts.
Implement cloud-native microservice architecture running on Kubernetes, leveraging infrastructure-as-code to automate the deployment and management of machine learning models.
Drive the end-to-end machine learning lifecycle, from training and testing to deployment and monitoring in real-time or near real-time environments.
Evaluate and select appropriate tools and technologies based on workload characteristics and performance requirements.
Collaborate with cross-functional teams to manage projects with various stakeholders, ensuring alignment with business goals.
As a Backend Engineer on our ML Platform team, youll play a crucial role in architecting and building our cutting-edge machine learning platform to support the end-to-end machine learning lifecycle. You will drive business-wide ML projects from an engineering perspective, leveraging cloud-native technologies to empower our data scientists and engineers.
In this role you'll:
Design and develop an internal ML platform to support data scientists in their research and development efforts.
Implement cloud-native microservice architecture running on Kubernetes, leveraging infrastructure-as-code to automate the deployment and management of machine learning models.
Drive the end-to-end machine learning lifecycle, from training and testing to deployment and monitoring in real-time or near real-time environments.
Evaluate and select appropriate tools and technologies based on workload characteristics and performance requirements.
Collaborate with cross-functional teams to manage projects with various stakeholders, ensuring alignment with business goals.
Requirements:
4+ years of experience in software engineering, with a strong track record of delivering high-scale, production-grade projects
Proficiency in Python programming skills
Experience working with relational and NoSQL databases, as well as cloud platforms (AWS, Azure, GCP)
Strong problem-solving skills, attention to detail, and ability to thrive in a fast-paced, collaborative environment
Experience with training, testing, deployment, and monitoring real-time (or near real-time) machine learning models in production is a plus
Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or related field
Ability to work in an office environment a minimum of 3 days a week
Enthusiasm about learning and adapting to the exciting world of AI a commitment to exploring this field is a fundamental part of our culture.
4+ years of experience in software engineering, with a strong track record of delivering high-scale, production-grade projects
Proficiency in Python programming skills
Experience working with relational and NoSQL databases, as well as cloud platforms (AWS, Azure, GCP)
Strong problem-solving skills, attention to detail, and ability to thrive in a fast-paced, collaborative environment
Experience with training, testing, deployment, and monitoring real-time (or near real-time) machine learning models in production is a plus
Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or related field
Ability to work in an office environment a minimum of 3 days a week
Enthusiasm about learning and adapting to the exciting world of AI a commitment to exploring this field is a fundamental part of our culture.
This position is open to all candidates.
