Senior Machine Learning Engineer (m/f/d)

Full time Machine Learning Artificial Intelligence Software Engineering Data Warehouse

Job Description

 

YOUR MISSION

As a Senior Machine Learning Engineer (m/f/d) you will develop intelligent models in our team, optimize algorithms and put AI-supported solutions into practice.

Your tasks in detail:

  • Promoting the use of artificial intelligence in tax authorities at state and federal level
  • Architecture, implementation and optimization of data storage systems, data pipelines and data preparation processes
  • Operation, scaling and performance optimization of on-premise LLM infrastructures
  • Development of automation solutions and work support with LLMs
  • Training, fine-tuning and deployment of machine learning and AI models

THIS IS IMPORTANT TO US

  • At least 5 years of experience in implementing data-driven projects with a focus on data engineering, machine learning and AI
  • Professional and confident demeanor, especially in communication with customers and stakeholders
  • In-depth knowledge of LLMs, including fine-tuning, inferencing, hosting and scaling (e.g. OpenAI API, Hugging Face, ...)
  • Knowledge of modern data pipelines and ETL/ELT processes
  • Very good knowledge of Python and the Python data science stack (pandas/polars, visualization libraries, ...), SQL and common ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn)
  • Experience with container technologies (Docker, Kubernetes)
  • Experience with AI deployment and operation (focus on LLMs), ideally with open source technologies
  • Solid understanding of Linux servers, GPUs and their optimization for AI workloads
  • Very good knowledge of German (C1 level) and English skills at conversational level

Look forward to

training budget

Use your annual training budget to advance your personal and professional development. Our mentors and coaches will support you in integrating our company values ​​and culture.

profit sharing

With us, you benefit from profit sharing, which can lead to bonus payments of up to 200%. You can also convert your bonus payments and overtime into benefits in kind such as vouchers, leisure events or fuel cards.

Family First

Flexible working hours and the option to work remotely allow you to combine work and family. Receive a kindergarten subsidy for children who are not of school age. Partners and children are also welcome to our celebrations.

workation

Depending on your length of service and project situation, you can work flexibly for up to two months a year from a holiday destination in Germany, the EU, UK or Switzerland.

hardware budget

Choose the devices and tools that best support your workflow and ensure your personal satisfaction. We also provide you with a mobile phone that you can also use privately.

sport

Take part in joint activities such as B2Run, biking or squash with colleagues. Sports activities also accompany the supporting program of our internal events.

Contact

Do you have any questions about the job? Contact me.

Laura Korth

Senior HR Recruiter

t. +49 170 360 0221 laura.korth@virtual7.de