Software Engineer Consultant developing innovative solutions for clients in sectors like Green Energy and MedTech. Collaborating with talented individuals and shaping your impactful role through dynamic projects.
About the role
- Senior Software Engineer at Audatic, focusing on DNN training infrastructure. Collaborating with engineers and data scientists on performance improvements and tool development for deep learning.
Responsibilities
- You will be part of Audatic's development team.
- Take ownership and responsibility for part of our DNN training infrastructure.
- Work closely with deep learning engineers and data scientists to design, maintain, and extend the training neural networks system.
- Collaborate with embedded software engineers on graph-manipulation tools to analyze and optimize trained neural networks.
- Proactively identify improvements to make the infrastructure more robust, efficient, and user-friendly.
- Develop tools to provide better insights and control over machine learning & deep learning experiments.
- Leverage CI/CD system or other forms of automation to minimize repetitive tasks for the team.
- Innovate and propose new ideas for continuous improvements.
Requirements
- 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.
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)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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