Machine Learning Engineer - Data Platform

Allegro Sp. z o.o.; Województwo mazowieckie; Hybrid; PLN 200,000 - 360,000; Full time

Job summary

Allegro Sp. z o.o. seeks mid and senior ML/AI Software Engineers to build high-scale ML platforms and AI solutions for millions of users.

The role uses on-prem Kubernetes and Google Cloud Platform (Vertex AI, Dataflow, BigQuery ML, Cloud Run, Composer/Airflow) in a hybrid setup. You will own MLOps pipelines, AI ecosystem components, and provide robust ML-based microservices, while expanding skills toward JVM or frontend to integrate across multi-product systems.

Qualifications

• Solid production-proven experience in ML/AI ecosystems and building stable ML-driven solutions.
• Proficient in Python, ML libraries (scikit-learn, PyTorch, Pandas, FastAPI) and IDEs.
• Open to expanding into JVM or frontend to integrate with multi-product system.
• Experience with Docker.
• Good analytical skills; know SQL and NoSQL.
• Know DevOps / GitOps principles.
• Familiar with cloud ecosystems (GCP preferred) and modern infra tools (Kubernetes, Helm, ArgoCD, Terraform).
• Advocates for engineering excellence: clean code, TDD, CI/CD, code reviews.
• Experience with AI ecosystem components.
• Interested in using AI coding tools to automate tasks.
• Positive attitude and teamwork; higher technical education.
• Polish at least C1 and English at least B2.

Responsibilities

• MLOps Ecosystem: develop and maintain pipelines for ML model training and serving.
• AI Enablement: build Allegro AI ecosystem including AI Gov inventory and evaluation frameworks.
• Support: assist internal partners and product teams to build robust ML/AI microservices.

Skills

Python

ML/AI

MLOps

Docker

SQL

NoSQL

Kubernetes

Terraform

CI/CD

GitOps

TDD

Polish (C1)

English (B2)

Education

BSc/MSc in CS or related

Tools

GCP

Dataflow

BigQuery ML

Vertex AI

ArgoCD

GitHub Actions

Job description

Job Description:

We are looking for Mid and Senior ML/AI Software Engineers to join our team building high-scale ML platforms and advanced AI solutions, who want to create powerful and robust solutions supporting a product used by over a dozen million active users.

Our hybrid environment leverages on-prem Kubernetes infrastructure for large-scale training/serving and the full power of Google Cloud Platform (Vertex AI, Dataflow, BigQuery ML, Cloud Run, Composer/Airflow).

Your main responsibilities:

• MLOps Ecosystem: Developing a modern MLOps ecosystem, automating, and maintaining pipelines for ML model training and serving, focusing on high-performance.
• AI Enablement: Building the Allegro AI ecosystem, including AI Gov inventory, AI-Gateway agentic workflows, runtime, model Guardrails, and evaluation frameworks.
• Support: Supporting internal partners and product teams to build and maintain robust ML/AI-based microservices.

This is the right job for you if you:

• Have solid, production-proven experience in ML/AI ecosystems and building stable ML-driven solutions.
• Are proficient in Python, know libraries from the MLE’s toolchain (scikit-learn, PyTorch, Pandas, FastAPI) and easily use IDEs.
• Are open to expanding coding skills into JVM languages (Java/Kotlin) or frontend (React/TypeScript) to work efficiently with other parts of our multi-product system.
• Have practical experience with Docker.
• Have good analytical skills and know SQL and NoSQL.
• Know and apply DevOps / GitOps principles in your work.
• Are familiar with cloud ecosystems (Google Cloud Platform preferred) and modern infrastructure tools (Kubernetes, Helm, ArgoCD, Terraform).
• Advocate for engineering excellence, including clean code, TDD, CI/CD, and a strong commitment to rigorous code reviews to maintain team architectural stability.
• Understand and have experience with AI ecosystem components.
• Are enthusiastic about utilizing AI coding tools to automate repetitive tasks and optimize your daily workflow.
• Have a positive attitude, excellent teamwork skills, and a higher technical education (Computer Science or related fields).
• Speak Polish at a minimum C1 level and English at a minimum B2 level.

Nice to have:

• Practical experience with GPU/TPU usage in model training, fine-tuning, and serving (Ray, Ray Serve / Triton / TorchServe), along with full model lifecycle management.
• Experience with LLMOps deployment, evaluation, observability, and tracing tools.
• Practice in monitoring and knowledge of Prometheus, Grafana, and OpenTelemetry concepts.
• Experience with modern SQL-based data transformation frameworks like dbt.
• Advanced AI: Expertise in LangGraph, ADK (multi-agent systems), and AI Guardrails.

What's in it for you:

• Flexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work.
• Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms).
• A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories.
• A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers).
• English classes that we pay for related to the specific nature of your job.
• A training budget, inter-team tourism (see more here), hackathons, and an internal learning platform where you will find multiple trainings.
• An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal.
• Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy.
• And that's just the beginning! You can read more about the benefits here.

#goodtobehere means that:

• You will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA.
• You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create.
• You will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job.
• You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support).
• You will create solutions that will be used (and loved!) by your friends, family and millions of our customers.
• You will meet the Allegro Scale, which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning.
• You will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about!