Machine Learning Engineer

8000 – 12 000 USD

Permanent employment

Hybrid

 Warsaw, Poland

Mid-level

Recruitedia is your trusted partner in finding highly qualified professionals and exceptional opportunities. With a proven track record of connecting businesses with the right candidates and guiding professionals to their dream careers, we specialize in creating successful partnerships that foster growth and success.

One of our clients, a leader in global business services, is looking for a Senior ML Ops / Backend Engineer

Location: Warsaw, Poland (Hybrid: 3 days in office)

About the Role:

We are seeking a Senior ML Ops / Backend Engineer to take ownership of our client’s machine learning infrastructure and production deployments. This role focuses on scaling our current ML operations, fine-tuning existing models, and integrating open-source solutions into production-ready systems. You will work closely with backend and DevOps teams to ensure smooth deployments, stability, and scalability of our ML-driven applications.

This is a hands-on technical role, ideal for someone who thrives in a fast-moving environment and is excited to bring ML models into production at scale.

What You’ll Do:

  • Operate and scale machine learning systems (currently 5 models, growing to ~50).
  • Fine-tune and optimize existing ML models for production use cases (OCR, citation detection, NLP, PDF analysis, and related tasks).
  • Lead backend development efforts to support ML integrations and deployments.
  • Deploy, monitor, and maintain production-ready ML models with a strong MLOps approach.
  • Integrate and adapt large open-source solutions into production workflows.
  • Collaborate with DevOps teams to ensure seamless infrastructure, CI/CD, and cloud scalability.
  • Drive technical improvements for performance, monitoring, and maintainability.

What We’re Looking For:

  • Strong background in ML Ops and backend engineering (not just pure ML research).
  • Proven experience in production deployment of ML models at scale.
  • Familiarity with OCR, NLP, and PDF analysis tools.
  • Experience with fine-tuning models and applying them to real-world datasets.
  • Skilled at integrating large open-source ML solutions.
  • Strong understanding of backend systems and DevOps workflows.
  • A pragmatic, hands-on builder who focuses on operational excellence over research.

If you recognize yourself in this role, hurry up and send us your CV so that we can contact you!

Application form

More job offers