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1 день назад

MLOps Engineer (AI)

Формат работы
remote (только Poland)/hybrid
Тип работы
fulltime
Английский
b2
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
MLOps Engineer (AI): Building and operating production ML and LLM systems across cloud environments with an accent on Kubernetes, CI/CD, observability, versioning, and infrastructure as code. Focus on designing reproducible pipelines, serving and evaluating LLM components, tracking reliability and cost, and turning research code into maintainable production systems.

Location: Poland; fully remote, hybrid, or office/coworking-based work is available in Warsaw, Bydgoszcz, Poznań, Łódź, Wrocław, and Gdańsk.

Company

hirify.global is a 120-person AI/ML consultancy delivering production AI projects for enterprise clients and partnering with OpenAI and Anthropic.

What you will do

  • Build and operate production ML pipelines and Kubernetes-based deployments across public cloud environments.
  • Design CI/CD workflows and infrastructure as code for ML code, models, datasets, prompts, and infrastructure.
  • Build observability systems covering metrics, logs, traces, dashboards, alerting, drift, performance, and cost.
  • Set up serving, evaluation, retrieval pipelines, tracing, latency monitoring, and token budgets for LLM components.
  • Work with data scientists to turn research code into reliable, maintainable production systems.
  • Act as the MLOps contact for client projects, communicate technical trade-offs, document solutions, and mentor engineers.

Requirements

  • Hands-on experience with a major public cloud and its ML and data services.
  • Production experience with Docker, Kubernetes, monitoring, observability, OpenTelemetry, and ML tracking or registry tools.
  • Strong Python and SQL skills, with experience using relational and NoSQL data stores.
  • Daily experience with Git, CI/CD, infrastructure as code, and tools such as Terraform, Jenkins, GitHub Actions, or GitLab CI.
  • Understanding of machine learning and deep learning concepts including drift, reproducibility, experiment tracking, evaluation, and training-serving skew.
  • Clear written and spoken English and Polish are required.

Nice to have

  • Experience with Databricks, Terragrunt, Ray, Spark, Dask, GitOps, Helm, Kustomize, or Kubernetes deployment tools.
  • Production experience with LLM serving stacks, vector databases, guardrails, prompt regression testing, GPU workloads, feature stores, or workflow orchestrators.
  • Experience with pre-sales or solution-scoping discussions.

Culture & Benefits

  • Work on frontier AI projects with real clients and production requirements, including LLM, edge AI, voicebot, and open-source initiatives.
  • Flexible remote and hybrid work with flexible hours and access to offices and coworking spaces in Poland.
  • Conference, learning, and training budgets, plus internal talks, workshops, and English lessons.
  • Choice of high-end equipment and access to a premium AI development tool suite.
  • Private medical care, a Multisport card, team activities, lunches, snacks, and a buddy-supported onboarding process.

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