Junior Machine Learning Engineer - Data Platform

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

Location: Warszawa, PL, 00-841

Team: Technology

Contract Type: Employee

Job Description:

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

This is the right job for you if:

• 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 a practical experience with Docker
• Have good analytical skills, know SQL and NoSQL
• Know and apply the DevOps / GitOps principles in their 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.
• Understands 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 withGPU/TPU usage in model training, fine tuning with and serving using (Ray, Ray Serve / Triton / TorchServe), and full model lifecycle management
• Experience with LLMOps - deployment, evaluation, observability, and tracing tools
• Practice in monitoring, 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.
• Annual bonus based on your annual performance and company results.
• 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, 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 not all! You can read more about our benefits here .

#goodtobehere, which means:

• 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!