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Senior Software Engineer (mfd) Audatic

More About You

Berlin

Hybrid

EUR 70.000 - 90.000

Vollzeit

Heute
Sei unter den ersten Bewerbenden

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Zusammenfassung

A technology company in Berlin is seeking a Python Developer to join their development team. The role involves maintaining a neural network training infrastructure, collaborating on tool development, and leading projects. Candidates should have at least 5 years of experience, strong Python proficiency, and a relevant degree. Benefits include competitive compensation, 30 days of vacation, and a hybrid work model allowing for work balance.

Leistungen

Competitive compensation package
30 days of paid vacation
Free daily meals, drinks and snacks
Regular team events and yearly retreat
Company-sponsored public transport ticket
Hybrid work model

Qualifikationen

  • At least 5 years of relevant work experience.
  • Experience with technologies in the tech stack.
  • Knowledge of software design and architecture patterns.

Aufgaben

  • Design, maintain and extend the training neural networks system.
  • Collaborate on graph-manipulation tools for neural networks.
  • Identify improvements for infrastructure efficiency and usability.
  • Develop tools for insight and control over ML experiments.
  • Leverage CI/CD for automation to minimize repetitive tasks.

Kenntnisse

Proficiency in Python
Communication skills in English
Ability to lead projects
Adaptability and willingness to learn

Ausbildung

Bachelor's or Master's Degree in a technical field

Tools

Docker
TensorFlow
Postgres
Azure
Jobbeschreibung
More About the Role

You will be part of Audatics development team. As such you'll be encouraged to take ownership and responsibility for part of our DNN training infrastructure. Below is a list of the dev team's responsibilities. Together we will choose a few for you to focus on and these can evolve over time.

Responsibilities
  • Working very closely with our deep learning engineers and data scientists to design, maintain and extend our system for training neural networks. This includes packages, tools and services written in Python, databases, virtual machines, cloud compute resources and scheduling systems.
  • Collaborating with embedded software engineers on graph‑manipulation tools to analyze and optimize our trained neural networks.
  • Proactively identifying improvements to make our infrastructure more robust, efficient and user-friendly. Part of this is working on the neural network training process to make it fast and hardware accurate.
  • Developing tools to provide better insights and control over machine learning & deep learning experiments. This includes our custom‑built experiment control and visualization website.
  • Leveraging our CI/CD system or other forms of automation to minimize repetitive tasks for the team.

You will be taking full ownership over parts of our codebase and infrastructure. At Audatic you are encouraged to innovate and propose new ideas for continuous improvements.

Tech Stack
  • Our main programming language is Python.
  • Our tech stack is built around many popular (open source) tools including but not limited to: Ubuntu, Docker and other container runtimes, Slurm, HashiCorp Vault, MongoDB, Postgres, Ansible, Prometheus, Grafana, TensorFlow, CUDA, React, FastAPI.
  • Our CI/CD pipelines run on GitHub Actions with self‑hosted runners.
  • We’re in the process of migrating our infrastructure from an on‑premise cluster to Azure so new tools will be added to our tech stack soon.
More About You
  • Bachelor's or Master's Degree in a technical field.
  • At least 5 years of relevant work experience.
  • Strong proficiency in Python with a demonstrated ability to write robust, clean and maintainable code.
  • Experience with some technologies in our tech stack.
  • Knowledge of common software design and architecture patterns with experience applying them to large codebases.
  • Ability to lead a project from beginning to finish.
  • Dependable communication skills with full professional proficiency in English.
  • Willingness to learn new things and adaptability.
Nice to Have

The qualifications below are nice to have. Please apply even if you do not fulfill all of these points!

  • Experience designing and maintaining a deep learning infrastructure.
  • DevOps experience or experience working with any of the major cloud providers.
  • Familiarity with Python scientific computing packages (e.g., NumPy, SciPy, scikit‑learn, TensorFlow).
What We Offer

At Audatic you’ll be part of a diverse international and passionate team that values collaboration and innovation. We provide an environment that allows you to balance professional growth with personal well‑being.

Benefits
  • Competitive compensation package.
  • 30 days of paid vacation.
  • Free daily meals, drinks and snacks at our green and modern office in the heart of Berlin.
  • Regular team events and a yearly retreat.
  • Company‑sponsored public transport ticket (Deutschlandticket).
  • Hybrid work model (at least 60% on‑site).
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