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Job Description

Siemens Energy offers a collaborative, growth-focused environment in Raleigh, NC, where you can apply AI-driven methods to real-world grid technologies. This onsite role emphasizes data-driven evaluation, cross-functional collaboration, and meaningful impact on business and user outcomes. Expect a culture that supports career development, transparent communication, and work-life balance, backed by a comprehensive benefits package including health and wellness coverage, paid time off, and retirement matching.

Responsibilities

  • Craft, refine, and optimize AI prompts using advanced NLP techniques to deliver outputs that are accurate, relevant, and engaging.
  • Design and implement prompt engineering and agentic AI strategies to steer model behavior and automate complex workflows.
  • Apply machine learning approaches, including data curation and hyperparameter tuning, to continuously elevate AI model performance.
  • Collaborate with data scientists, product managers, and UX partners to translate business needs into effective AI solutions.
  • Develop and maintain documentation, standards, and best practices for prompt engineering, model configuration, and system integration.
  • Analyze model performance through data exploration, metrics, and visualization to evaluate effectiveness and share insights with stakeholders.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Linguistics, or a related technical field.
  • Two or more years of professional experience in data science, machine learning, or a closely related AI discipline; candidates with broader experience may be considered for a higher level.
  • Proven ability to apply technical expertise in real-world, production, or applied research environments.
  • Authorized to work in the United States without current or future employer sponsorship; Siemens Energy employees with current visa sponsorship may be eligible for internal transfers.

Technologies

  • Python

Benefits

  • Career growth and development opportunities
  • Supportive work culture
  • Company paid health and wellness benefits
  • Paid time off and paid holidays
  • 401K savings plan with company match
  • Family building benefits and parental leave

Rewards

  • Career growth and development opportunities
  • Supportive work culture
  • Company paid health and wellness benefits
  • Paid time off and paid holidays
  • 401K savings plan with company match
  • Family building benefits and parental leave

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