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Hewlett Packard Enterprise
4d ago

Artificial Intelligence Engineer(m/w/x)

Böblingen
Full-time, Part-timeOn-siteExperienced
AI/ML

Description

You will bridge the gap between research and production by developing scalable AI models and optimizing deep-learning frameworks to solve complex scientific challenges on high-performance platforms.

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Requirements

  • Degree in relevant field or equivalent experience
  • Experience applying AI/ML in scientific environments
  • Proficiency with deep-learning and HPC frameworks
  • Strong analytical and problem-solving skills
  • Familiarity with software engineering best practices
  • Excellent communication skills in English
  • Desirable German proficiency
  • Collaborative mindset and presentation skills
  • Optional open-source or research contributions
  • Accountability and active learning skills
  • Critical thinking and growth mindset

Education

Bachelor's degree
OR
Master's degree

Tasks

  • Design and optimize AI/ML components
  • Implement pipelines for scientific workloads
  • Productize models with research teams
  • Accelerate workflows on specialized hardware
  • Co-develop scalable AI solutions
  • Tailor workflows to engineering applications
  • Optimize deep-learning frameworks for HPC
  • Perform distributed training and tuning
  • Translate research prototypes into robust code
  • Manage containerized deployments and integrations
  • Execute benchmarking and validation plans
  • Debug and remediate performance issues
  • Collaborate with cross-functional project teams
  • Produce detailed technical documentation
  • Lead knowledge-transfer sessions for stakeholders

Tools & Technologies

PyTorchTensorFlowJAXMPISlurmDockerSingularityONNXNVIDIA/TensorRTversion controlCI/CDCRMIaaS

Languages

EnglishBusiness Fluent

GermanBasic

Benefits

Other Benefits

  • Comprehensive benefits suite
  • Financial wellbeing support

Healthcare & Fitness

  • Physical wellbeing support

Mental Health Support

  • Emotional wellbeing support

Learning & Development

  • Career investment programs

Flexible Working

  • Flexible work management
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