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AI / Data Engineer

ジョブID
493926
公開開始日
09-2月-2026
組織
Information Technology
職種分野
Information Technology
会社
Siemens S.A.
経験レベル
中級プロフェッショナル
ジョブタイプ
フルタイム
勤務形態
ハイブリッド（リモート/オフィス）
雇用形態
無期雇用
ロケーション
  • Olivos - - アルゼンチン

At Siemens, we believe that businesses only thrive if our people thrive. That’s why we always put our people first. Our global and diverse team will be happy to support and challenge you to grow in many ways. Who knows where our joint journey will take us?

We are looking for an AI / Data Engineer.

You will make an impact by

  • Consult non technical people on what is posible with AI, to find new a menaingfull ways to create value with AI solutions (e.g. Agents) within a business function or domain (e.g. Sales, Customer Service).
  • Collaborate with cross-functional teams to translate business needs into scalable AI solutions.
  • Guide non-technical stakeholders on the capabilities and limitations of AI to identify high-impact opportunities.
  • Architect and implement robust AI solutions on Azure and other hyperscalers to solve complex business problems.
  • Build and maintain production-grade ML pipelines and APIs in the cloud.
  • Conduct experiments to explore and validate new applications of Generative AI that can bring business benefits
  • Ensure reliability, performance, and security of deployed AI solutions.
  • Monitor and optimize models and costs in production environments.

You would describe yourself as

  • +1 years of expirence in Machine Learning, Generative AI, and cloud-based AI deployment.
  • Strong programming skills in Python and experience with CI/CD
  • Hands-on experience with Azure, AWS or GCP
  • Familiarity with MLOps practices and tools.
  • Excellent problem-solving skills and a strong engineering mindset.
  • Effective communication in english and collaboration skills.


#TransformTheEverydayWithUs

We value your unique identity and perspective, recognizing that our strength comes from the diverse experiences and ideas of our people. We are committed to providing equal opportunities and building a workplace that reflects the diversity of the societies in which we operate.