Machine Learning Engineer m/f/d

Munich | full time | unlimited

Your tasks:
  • Developing generative AI solutions for internal and customer use cases
  • Integrating and managing AI models within various application environments
  • Training and fine-tuning of AI models, focusing on achieving superior performance and precision
  • Deploying on local GPU hardware, including profiling and optimization to ensure efficient execution of AI models
  • Developing data processing pipelines and preparing data for NLP training
  • Enhancing model performance by integrating external knowledge sources during the generation process
Your capabilities:
  • You're holding a master’s degree in Computer Science, Engineering, or a closely related field
  • You can demonstrate a robust foundation in technical knowledge, and you have problemsolving capabilities
  • You are experienced in working with AI inference frameworks
  • You have a deep understanding of NLP principles and techniques
  • You bring a solid understanding of Transformer architectures, emphasizing Large Language Models (LLMs), Generative AI, and proficiency in convolutional neural networks
  • You are proficient in leveraging retrieval-augmented techniques for generative tasks

Benefits

Market success: 15.000 renowned customers | Sustainable growth of over 10% | Publicly listed company (SDax & TecDax) | Security & Stability | Company Culture: Hybrid Work (Working from Home & Working from EU) | 30 days of vacation | Health Management | Diversity & Inclusion Team, (virtual) Events, Volunteer Day | Onboarding: Newbies Day in Munich | Extensive on-boarding program with trainings| Buddy Program | Benefits: Optimized remuneration | Company pension | Medical package | Sports facilities | LinkedIn Learning | Professional Language Lessons

With our software products, we digitize workforce planning and workforce deployment processes in companies and thus improve the work-life balance for millions of employees worldwide. We enable companies to involve their employees in these processes and to better take their wishes into account when organizing working time. In this way, we help companies work more creatively, intelligently and humanely, revolutionizing the interplay between profitability and humanity. Cross-industry, in more than 50 countries, cloud-based. And we're successful. Our share price has grown more than 1,000% over the last ten years.


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