Senior Backend AI & ML Engineer - Remote Europe

Afternow

Polska

Hybrid

PLN 147,000 - 196,000

Full time

14 days+
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Job summary

Afternow seeks a Senior Backend (AI / Machine Learning) Engineer to design, build, and deploy intelligent systems in production. This fully remote role targets Europe-based candidates, with English required and Spanish a bonus.

You will work across AI, ML, data pipelines, APIs, and cloud services, primarily using Python and Java Spring Boot. Expect 40-hour weeks, CET flexibility, and collaboration with product managers, engineers and clients.

Qualifications

  • 5+ years of backend development experience in Python and Java (Spring Boot).
  • Hands-on experience deploying production-grade ML features and data pipelines.
  • Strong understanding of data pipelines, model serving, APIs and backend integration.
  • Experience with MLOps tools and cloud infrastructure, preferably AWS.
  • Familiarity with microservices architecture and modern backend practices.

Responsibilities

  • Design, implement, and deploy ML features in production environments.
  • Build reliable data pipelines for ML models and analytics.
  • Develop internal (gRPC) and external (REST) APIs for AI/ML services.
  • Support experimentation, monitoring, and optimization of ML models.
  • Collaborate with product, backend, and frontend teams to deliver AI-powered features.
  • Own AI/ML capabilities from prototype to production deployment and monitoring.

Skills

Python
Java
Spring Boot
ML concepts
Data pipelines
APIs
MLOps
AWS
Problem solving
AI coding tools

Tools

AWS
Docker
Kubernetes
PyTorch
TensorFlow

Job description

Afternow seeks a Senior Backend (AI / Machine Learning) Engineer to design, build, and deploy intelligent systems in production. This fully remote role targets Europe-based candidates, with English required and Spanish a bonus.

You will work across AI, ML, data pipelines, APIs, and cloud services, primarily using Python and Java Spring Boot. Expect 40-hour weeks, CET flexibility, and collaboration with product managers, engineers and clients.

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