(Senior) Machine Learning Engineer

Posted 4 Days Ago
Be an Early Applicant
Deutschland
Expert/Leader
Software
The Role
As a Senior Machine Learning Engineer, you will design and deploy AI models, collaborate with teams to enhance products, manage large datasets, and mentor junior engineers while ensuring model performance and reliability in production.
Summary Generated by Built In


(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


Top Skills

Python
R
The Company
HQ: Munich
769 Employees
On-site Workplace

What We Do

At ATOSS we are shaping working environments to the benefit of companies, employees and society. We are paving the way to working environments that are more creative, more intelligent and more humane. At the same time, we are revolutionizing the interaction of cost efficiency and humanity. This vision of a human economy drives and motivates us. Since 35 years, ATOSS has ranked as a trendsetter and key player in the workforce management market. Every day, ATOSS solutions are making significant contributions towards higher value creation and greater competitive strengths for more than 15,000 customers. We are enabling the implementation of employee-oriented working time concepts, thereby ensuring greater job satisfaction – meanwhile in over 50 countries worldwide. Our customers include companies such as Deutsche Bahn, Douglas, EDEKA, HORNBACH, Lufthansa, Sixt SE, thyssenkrupp Packaging Steel or W. L. Gore & Associates. #HumanEconomy

Visit our website www.atoss.com

Imprint and Data Privacy Policy:
https://www.atoss.com/en/imprint
https://www.atoss.com/en/data-protection-agreement

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