AI Engineer - MLOps & LLMOps for Production AI

dataroots, a Talan company

Oost-Vlaanderen

Híbrido

EUR 75 000 - 110 000

Tempo integral

há 17 horas
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Vantagens oferecidas por esta oferta de emprego

Mobility budget or company car
Hospitalisation and group insurance
High-end laptop
Smartphone with subscription
Substantial holidays
Training budget
Team-building events

Resumo da oferta

Dataroots is seeking an AI Engineer to design, build and deploy AI solutions across various industries, from traditional ML to GenAI, with a strong emphasis on production readiness.

You will develop robust deployment pipelines, automate testing and releases, and ensure governance, observability, and reliability of AI systems while collaborating with a multidisciplinary team in a hybrid work setup.

Qualificações

  • At least 3 years of experience building, deploying and operating AI systems in production.
  • Proficiency in Python and SQL with strong software engineering practices.
  • Experience with GenAI, LLMOps, and prompt management.

Responsabilidades

  • Design, build and deploy AI solutions delivering business value across industries.
  • Create robust deployment pipelines, automate testing and releases.
  • Implement monitoring, observability and maintainable AI systems.
  • Help clients operationalize AI at scale through MLOps and lifecycle management.
  • Collaborate with AI engineers, data engineers, cloud architects and strategists.

Conhecimentos

AI engineering
Python
SQL
MLOps
GenAI
CI/CD pipelines
Cloud platforms
Observability
Containerization
Production deployment

Ferramentas

Docker
Kubernetes

Descrição da oferta de emprego

Dataroots is seeking an AI Engineer to design, build and deploy AI solutions across various industries, from traditional ML to GenAI, with a strong emphasis on production readiness.

You will develop robust deployment pipelines, automate testing and releases, and ensure governance, observability, and reliability of AI systems while collaborating with a multidisciplinary team in a hybrid work setup.

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