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(Senior) Machine Learning Engineer

Product Development

Deutschland

Full Time


(Senior) Machine Learning Engineer - m/w/d
Munich | full time | unlimited

Your responsibilities:
  • Design, develop, and deploy scalable AI and machine learning models for internal and customer use cases
  • Collaborate with cross-functional teams to integrate AI solutions into existing products.
  • Collaborate with cross-functional teams to Integrate and manage AI models within the existing products as well as 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
  • Deploy AI models in production environments and ensure they are running efficiently
  • Monitor and maintain AI systems to ensure they meet performance and reliability standards
  • Implement logging, monitoring and alerting systems for AI solutions
  • Collaborate with software engineers, data scientists, and other stakeholders to deliver high-quality AI solutions
  • Provide technical guidance and mentorship to junior AI engineers and data scientists
  • Contribute to code reviews, design discussions and technical documentation
  • Work with large datasets to train and validate AI models
  • Implement data preprocessing and augmentation techniques to enhance model performance
  • Ensure data integrity and security throughout the AI development lifecycle
  • Stay updated with the latest advancements in AI and machine learning technologies and conduct research to explore new techniques and methodologies
  • Propose and implement innovative AI solutions to solve complex problems
Your capabilities:
  • You're holding a master’s degree in Computer Science, Engineering, or a closely related field
  • You have at least 10 years of experiences in the Software Engineering and have at least 3 years of hands-on experience in the designing, developing, and delivering enterprise grade AI solutions (in complex software systems) to customers based on Artificial Intelligence
  • You have strong programming skills in Python, R, or other relevant languages
  • You have proficiency with data analysis and machine learning libraries (e.g., Scikit-learn, Pandas, NumPy)
  • You have experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization (e.g., Docker, Kubernetes)
  • 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 and 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
  • You have the passion and ability to work in a fast-paced, dynamic environment
  • You have strong organizational and project management skills
  • You come with an open, proactive and innovative mindset
Our benefits:
  • Onboarding: Newbies Day in Munich, 5-week onboarding with training courses, buddy programme
  • Benefits: Participation in the company's success, employee share programme, Germany Job Ticket, Sodexo vouchers, corporate benefits
  • Corporate culture: Flexibility through hybrid work (work from home/work from EU), 30 days' holiday, Diversity & Inclusion Team, (virtual) events for employees (e.g. summer camps), barista at headquarters, Volunteer Day
  • Career and further training: career model with Expert & Leadership Track, ATOSS Academy, LinkedIn Learning
  • Health initiatives: Check-ups, health campaigns, Gympass, JobRad, company doctor
  • Security & stability: Listed on the stock exchange: SDax & TecDax, over 30% EBIT margin, scale-up, 18 years of record sales and earnings, visibility, future-oriented product

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