(Senior) Machine Learning Engineer - Data Platform

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SeniorHybryda·WarszawaFull-time

#479268·Dodano 2 dni temu·1

Źródło: Allegro Sp. z o.o.

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Tech Stack / Keywords

Python PyTorch Kubernetes Google Cloud PlatformVertex AIDataflowBigQuery MLDocker Terraform LangGraph

Podsumowanie oferty

Build high-scale ML platforms and advanced AI solutions supporting a product used by over a dozen million active users. Develop the MLOps ecosystem and AI ecosystem, using technologies including Kubernetes and Google Cloud Platform.

Wymagania

Have solid, production-proven experience in ML/AI ecosystems and building stable ML-driven solutions.
Be proficient in Python and know libraries from the MLE toolchain, including scikit-learn, PyTorch, Pandas, and FastAPI; use IDEs.
Be open to expanding coding skills into JVM languages (Java/Kotlin) or frontend (React/TypeScript).
Have practical experience with Docker.
Have good analytical skills and know SQL and NoSQL.
Know and apply DevOps/GitOps principles.
Be familiar with cloud ecosystems, preferably Google Cloud Platform, and infrastructure tools including Kubernetes, Helm, ArgoCD, and Terraform.
Advocate engineering excellence, including clean code, TDD, CI/CD, and rigorous code reviews.
Understand and have experience with AI ecosystem components.
Be enthusiastic about using AI coding tools to automate repetitive tasks and optimize daily workflow.
Have a positive attitude, excellent teamwork skills, and higher technical education in Computer Science or a related field.
Speak Polish at a minimum C1 level and English at a minimum B2 level.

Nice to have:

Practical experience using GPU/TPU in model training, fine-tuning, and serving; experience with Ray, Ray Serve, Triton, or TorchServe, and 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 such as dbt.
Expertise in LangGraph, ADK (multi-agent systems), and AI Guardrails.

Obowiązki

MLOps Ecosystem:

Develop a modern MLOps ecosystem and automate and maintain pipelines for ML model training and serving, focusing on high performance.

AI Enablement:

Build the Allegro AI ecosystem, including AI Gov inventory, AI-Gateway agentic workflows, runtime, model Guardrails, and evaluation frameworks.

Support:

Support internal partners and product teams in building and maintaining robust ML/AI-based microservices.

Benefity

Annual bonus based on annual performance and company results.
Long-term discretionary incentive plan based on Allegro.eu shares (restricted stock units).
A MacBook Pro or corresponding Dell with Windows, plus necessary accessories.
Cafeteria-plan benefits, with options including medical, sports, or lunch packages, insurance, and purchase vouchers.
Employer-paid English classes related to the specific nature of the job.
Training budget and an internal learning platform with multiple trainings.
An additional day off for volunteering.
Social events for Allegro employees.

Elastyczne godziny

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Udziały pracownicze

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Ubezpieczenie

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Spotkania integracyjne

Allegro

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