Senior Platform Engineer

DevOps

Youpal Group

Sweden - Remote

June 10, 2024

Deadline

Work Level

Employee Type

Role: As a Senior Platform Engineer in the ML Platform team within AI, Analytics & Data domain, your main responsibility will be to collaborate with other platform engineers in the team to develop cutting-edge machine learning platform products. These products will enable ML Product teams to adhere to organizational standards, increase efficiency, and reduce time to production. Your role will primarily focus on engineering and providing solutions for ML Product teams, including creating continuous integration and development workflows, model training pipelines, model serving and monitoring solutions, and reusable libraries. Additionally, you will also have the opportunity to develop technical enablement for large-scale machine learning solutions.

Furthermore, you will:

Collaborate with an Agile team to design and develop ML Platform solutions
Create reusable technical enablement to streamline Advanced Analytics and AI product development, such as automating machine learning model training, managing the lifecycle of machine learning models, and advanced data profiling.
Utilize your knowledge of software architecture and design patterns to create scalable, maintainable, and future-proof software.

Essential requirements:

You have 5-10 years of experience as a software developer, with a strong focus on building scalable and high-quality software products. You are familiar with the challenges of designing and implementing large-scale distributed systems.
You have a passion for distributed computing and machine learning technology.
You have excellent programming skills in Python, including a deep understanding of best practices, code structure, design patterns, development workflow, and testing.
You are dedicated to testing your code and follow a test-driven development approach.
You have hands-on experience with DevOps and automating software development processes using tools such as Jenkins, Docker, and Kubernetes.
You have experience with at least one cloud solution such as AWS, Azure, or GCP (