Machine Learning Engineer

Компания: AGIMA

Проект: Xometry

Локация: no RF/RB

Уровень английского: от B2

Формат работы: удаленно // outstaff

Занятость: full time

Зарплата: от 5k$

Xometry is a U.S.-based company that operates an online on-demand manufacturing marketplace. An engineer or company uploads a 3D model or drawing, and the platform instantly calculates the price and lead time. The order is then assigned to a network of thousands of contractors (CNC machining, 3D printing, sheet metal, casting, etc.), with Xometry handling supplier selection, quality control, and logistics. The company earns revenue from the margin between customers and manufacturers, as well as from additional services for suppliers. Xometry operates in the U.S., Europe, and several other regions, with its European office/hub located in Germany.

Задачи:

— Technical Contributions: Design, develop, test, and release software and infrastructure supporting AI/ML and experimentation workflows

— Code Review & Documentation: Grow our knowledgebase by participating in code reviews, writing, and reviewing documentation

— Collaboration: Work closely with other engineers and product managers to become a valued member of an autonomous, cross-functional team

— Ownership: Be responsible for the services that are owned by our team, including deploying services into AWS and Kubernetes environments and taking part in an on-call rotation

— Professional Development: Stay up-to-date on the latest technologies and pro-actively identify opportunities for growth.

Требования:

— 5+ years of experience in a fast-paced technical, problem-solving environment as a software or machine learning engineer

— Attention to detail, good work ethic, ability to work on multiple projects simultaneously, and strong communication skills

— Demonstrable understanding of software engineering fundamentals related to security, scalability, asynchronous programming and transactions

— Knowledge and demonstrated experience developing in Python and Terraform for AWS

— Knowledge and demonstrated experience deploying infrastructure as code (IaC)

— Experience with software engineering principles

— Experience with build and testing ci/cd pipelines using Github Actions

— Knowledge of the machine learning lifecycle, including best practices in MLOps

— Experience deploying data science or machine learning solutions

— Demonstrated knowledge of principles of service-oriented architectures and ability to lead efforts in defining and implementing a service strategy

— Experience with relational and/or NoSQL databases with understanding of Normalization/Denormalization, Constraints, Transactions, Replication, and Sharding

— Experience communicating technical concepts to non-technical stakeholders