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Siemens Energy

Senior Solution Architect - AI/ML Specialist

5-8 Years
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Job Description

Job Summary

  • Design and Develop: Architect and develop Python-based applications that apply generative AI models to address complex client challenges.
  • Cloud Integration: Implement and manage cloud-hosted AI solutions, ensuring seamless integration with existing client infrastructures.
  • Client Collaboration: Engage with business to understand the use case, create high-level design and technical approach documents, collaborating with the development team to deliver technical assistance and solutions
  • Proof of Concepts (PoCs): Lead the development of PoCs to demonstrate the potential of generative AI applications, adapting quickly to evolving project requirements.
  • Technical Leadership: Mentor junior developers, review code, and ensure alignment with AI solution development and software standards of company.
  • Continuous Learning: Stay abreast of the latest advancements in generative AI and cloud technologies, integrating new methodologies and tools as appropriate.

What You Bring

  • Bachelor s or Master s degree or equivalent experience in Computer Science, Engineering, or a related field.
  • Minimum of 5 years of professional experience in Python development, with at least 2 focused on AI/ML applications
  • Proficiency in Python and familiarity with AI frameworks such as TensorFlow or PyTorch.
  • Experience with cloud platforms (AWS, Azure, or Google Cloud) and their AI service offerings.
  • Knowledge of API development and microservices architecture.
  • Experience in deploying AI models into production environments.
  • Familiarity with data preprocessing and feature engineering.. Exposure to natural language processing (NLP) and computer vision applications.
  • Strong communication skills, capable of articulating complex technical concepts to non-technical customers.

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About Company

With our portfolio, we are one of the worlds leading suppliers of a wide range of products, solutions and services in the field of energy technology

Job ID: 108882477