ML/AI Software Engineer for High-Scale AI Platforms

Allegro Ltd.; Polska; Hybrid; PLN 180,000 - 320,000; Full time

Benefits offered by this job

MacBook Pro

Hybrid work

Training budget

Volunteer day

Social events

Fringe benefits

Job summary

Allegro Ltd. is seeking an ML/AI Software Engineer to join our Technology team in a high-scale ML platform environment. You will build and maintain ML pipelines, AI ecosystems, and AI-powered microservices supporting millions of users.

The role emphasizes Python proficiency, ML libraries, Docker, Kubernetes, and cloud tooling while expanding into JVM or frontend as needed. You will collaborate with product teams, apply DevOps/GitOps practices, and contribute to TDD, CI/CD, and rigorous code

Qualifications

• Production-proven experience in ML/AI ecosystems and building stable ML-driven solutions.
• Proficient in Python and libraries like scikit-learn, PyTorch, Pandas, FastAPI.
• Willing to expand into JVM languages (Java/Kotlin) or frontend (React/TypeScript).
• Practical experience with Docker and cloud ecosystems (GCP preferred).
• Strong analytical skills, knowledge of SQL and NoSQL.
• Familiarity with DevOps/GitOps, CI/CD, and code reviews.

Responsibilities

• Develop MLOps ecosystem and maintain ML model training/serving pipelines.
• Build Allegro AI ecosystem including AI Gov inventory, AI-Gateway workflows, and Guardrails.
• Support internal partners to design ML/AI-based microservices and maintain robustness.

Skills

Python

ML libraries

PyTorch

scikit-learn

Pandas

FastAPI

Docker

SQL

NoSQL

Kubernetes

Google Cloud Platform

Terraform

Helm

ArgoCD

GitOps

CI/CD

TDD

Java

Kotlin

React

TypeScript

GCP tools

Education

CS degree

Tools

Kubernetes

Docker

Helm

ArgoCD

Terraform

Ray

Ray Serve

Triton

TorchServe

Prometheus

Grafana

OpenTelemetry

dbt

Job description

Allegro Ltd. is seeking an ML/AI Software Engineer to join our Technology team in a high-scale ML platform environment. You will build and maintain ML pipelines, AI ecosystems, and AI-powered microservices supporting millions of users.

The role emphasizes Python proficiency, ML libraries, Docker, Kubernetes, and cloud tooling while expanding into JVM or frontend as needed. You will collaborate with product teams, apply DevOps/GitOps practices, and contribute to TDD, CI/CD, and rigorous code