mlops engineer for insurance claims

HireHi; Warszawa; On-site; PLN 201,000 - 391,000; Full time

Benefits offered by this job

Referral bonus 5,000 PLN

Flexible collaboration

Remote recruitment

Job summary

HireHi ищет специалиста по MLOps для разработки и сопровождения инфраструктуры для обучения, развёртывания и обслуживания моделей на Azure, AKS и Kubernetes. В задачу входит настройка пайплайнов, управление версиями и автоматическое обучение, внедрение DevOps практик в гибридной архитектуре.

Требуется глубокое владение облачными сервисами (Azure/GCP/AWS), Docker/Kubernetes, а также инструментами CI/CD и пайплайнами для МЛ-решений. Возможна удаленная работа и участие в международных проектах.

Qualifications

• Опыт не менее 3 лет в MLOps, ML или Data Engineering.
• Глубокие знания Azure: Azure ML, AKS и Azure Container Registry.
• Опыт работы с MLflow, Kubeflow или аналогами.
• Навыки Docker и Kubernetes, Helm, Ingress.

Responsibilities

• Разработка и поддержка CI/CD для ML-решений, включая тестирование и версионирование данных и моделей.
• Развертывание и обслуживание инфраструктуры MLOps/LLMOps в Azure и Kubernetes.
• Подготовка Docker-образов и управление развёртываниями в гибридной архитектуре.
• ,

Skills

Azure ML

AKS

Azure Container Registry

GCP/AWS

LLMOps

Python

Bash/Shell

MLflow

Kubeflow

Terraform

Bicep

Ansible

Ingress

Helm charts

Docker

Kubernetes

Azure DevOps

GitHub Actions

Jenkins

Prometheus

Grafana

Azure Monitor

RAG

Tools

Docker

Kubernetes

Jenkins

GitHub Actions

Azure DevOps

Helm

Terraform

Bicep

Ansible

Ingress

Prometheus

Grafana

Azure Monitor

Job description

Описание:

The client is developing a modern claims and benefits handling ecosystem based on data, automation, AI, and workflow processes as part of a strategic business and technology transformation program.

Задачи:

Implement CI/CD pipelines for ML solutions, including automated testing, data and model versioning, and Continuous Training Design and build scalable MLOps/LLMOps infrastructure for model training and serving using Azure Machine Learning, Azure AI Foundry, and Kubernetes (AKS) Prepare Docker images for AI/GenAI models and manage deployments on Kubernetes clusters in a hybrid architecture integrated with on-premise systems Manage Azure cloud resources, optimize model inference time, and scale infrastructure based on workload

Требования:

At least 3 years of experience in MLOps, Machine Learning, or Data Engineering Deep knowledge of Azure, especially Azure ML, AKS, and Azure Container Registry, or GCP/AWS with readiness to quickly ramp up on Azure Hands-on experience with MLflow, Kubeflow, or cloud-native solutions for model lifecycle management Advanced knowledge of Docker and Kubernetes, including cluster management, Helm charts, and Ingress Experience building pipelines with Azure DevOps, GitHub Actions, or Jenkins Good knowledge of Python and Bash/Shell Knowledge of Terraform, Bicep, or Ansible Будет плюсом: Charts, Ingress, GCP, AWS, GitHub Actions, Jenkins, Shell, Ansible, Bicep, LLM, RAG, Prometheus, Grafana, Azure Monitor

Условия:

Project-based cooperation, settled by milestones and acceptance protocols for individual deliverables Administrative and settlement support from Connectis Participation in industry events and technology meetups 5 000 PLN referral bonus for recommending people to the company’s projects Flexible B2B cooperation Fast and remote recruitment process