Junior Machine Learning Engineer (Data Platform)

Our requirements

• 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.

Optional

• Practical experience with GPU/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.

Your 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.

About the project

#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!

What we offer

• 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 (up to 10% of the gross annual salary depending on your end-year assessment).
• 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.

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• flexible working time
• integration events
• no dress code
• leisure zone
• extra social benefits