Talantix.io
Shopware AG•04.03.26
AI SCORE 8.5

AI Infrastructure Engineer - Remote Position

$120K–$150K/year
RemoteAI/Cloud Infrastructure
Python•AWS•Kubernetes•Machine Learning•Blockchain•Rust•Cloud Infrastructure

About the Role

We are seeking an experienced AI Infrastructure Engineer - Remote to join our innovative team. In this role, you will be instrumental in developing and maintaining our AI infrastructure, ensuring that our systems are robust, scalable, and efficient. You will work closely with cross-functional teams to implement AI solutions that drive our business forward.

What You'll Do

  • Design and implement AI infrastructure solutions to support machine learning and data processing.
  • Manage and optimize cloud resources, particularly in AWS, to ensure high availability and performance.
  • Collaborate with data scientists and software engineers to build and maintain data pipelines and GPU clusters.
  • Develop automation scripts using Python and other tools to streamline operations.
  • Participate in the full software development lifecycle, from conception to deployment.

Requirements

  • 3+ years of experience in AI infrastructure engineering or a related field.
  • Strong proficiency in cloud platforms, especially AWS.
  • Experience with Kubernetes and serverless architectures.
  • Proficient in Python and familiar with machine learning frameworks.
  • Knowledge of blockchain technologies and smart contracts is a plus.

Nice to Have

  • Experience with Rust and cryptography.
  • Familiarity with open-source tools and contributions.
  • Understanding of e-commerce platforms and SaaS sales processes.

What We Offer

  • Be part of a strategic initiative shaping the future of commerce.
  • Access to dedicated AI budget and tools.
  • Open culture with flat hierarchies and encouragement of initiative.
  • Permanent employment contracts offering long-term security.
  • Flexible working hours and options for remote work.
  • Personalized onboarding support.
  • Opportunities for personal growth and development.
  • Attractive perks such as pension plans and health programs.
Why This Job8.5 of 10

This role offers a unique opportunity to work remotely as an AI Infrastructure Engineer, contributing to cutting-edge AI solutions in a collaborative environment.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

→

Proficient in Python and familiar with libraries such as TensorFlow and PyTorch for building and maintaining AI models, ensuring a strong foundation in machine learning concepts.

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Experience with AWS services (like EC2, S3, and Lambda) and Kubernetes for deploying and managing scalable cloud infrastructure, demonstrating a hands-on approach to cloud-native solutions.

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A proactive mindset with a focus on continuous learning, especially in emerging technologies like Blockchain and Rust, to keep up with the rapid advancements in AI infrastructure.

Learning Resources

→Python for Data Science Handbookguide
→AWS Certified Solutions Architect - Associate 2023course
→Kubernetes Documentationarticle

Career Path

AI Infrastructure Engineer - Remote Position(Now)→Senior AI Infrastructure Engineer(1-2 years)→AI Infrastructure Architect(3-5 years)

Market Overview

Python Market Size 2024
$28B
Annual Growth
11.5%
AI Adoption in Python Development
65%
Investment in Python AI Tools
+150%
Labour Demand for Python Developers
+30%
Avg Salary for AI Infrastructure Engineer
$120K

Skills & Requirements

Required
PythonAWSKubernetes
Growing in Demand
Data EngineeringTensorFlowDevOps
Declining
PerlRuby on Rails

Domain Trends

Rise of AI-Driven Development
Over 70% of companies are integrating AI into their development processes, emphasizing the need for engineers skilled in Python and machine learning.
Increased Adoption of Kubernetes for AI Workloads
Kubernetes usage has grown by 40% in AI infrastructure, as organizations look to manage containerized applications more efficiently.
Shift Towards Cloud-Native Solutions
80% of enterprises are moving to cloud-native architectures, with Python being a primary language for developing scalable cloud applications.

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