1 день назад
MLOps Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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