Data Engineering Working Student

vor 3 Wochen


Berlin, Deutschland ai|coustics Vollzeit

ai|coustics is a Berlin-based startup pioneering Generative Audio AI technology. We're on a mission to redefine the way people experience speech quality and intelligibility in real-time communication and media content by providing solutions to our millions of people across various verticals, including TVs, Soundbars, Headphones, Hearing Devices, Broadcasting, Streaming, and more. Our unique approach takes us beyond simple noise suppression, creating a listening experience that is unmatched in the industry. If you're passionate about technology and thrive in an innovative work environment, then join us at ai|coustics and play a pivotal role in shaping the future of audio technology.

We are seeking a talented and motivated Data Engineering Working Student to join our team. In this role, you will be instrumental in managing and enhancing our audio data pipeline, ensuring the highest quality of data for training our machine learning models. This is an excellent opportunity to gain hands-on experience in data engineering within a dynamic AI startup environment.

Tasks
- Design, build, and maintain robust data pipelines to collect, transform, and load data from various sources into our data warehouse
- Implement automatic labeling techniques to categorize and tag audio files efficiently.
- Ensure data accuracy, consistency, and integrity by implementing data quality checks and data cleaning processes.
- Sort and archive audio files into our cloud-based database system.
- Develop and maintain data visualization tools to represent data findings effectively.
- Maintain clear and concise documentation of data pipelines, processes, and data schemas.
- Collaborate closely with data scientists, machine learning engineers, and other cross-functional teams to provide clean, high-quality data for analysis and model development.

**Requirements**:

- Currently enrolled in a Bachelor's or Master's program in Computer Science, Data Science, Engineering, or a related field.
- Strong foundation in Python, especially with audio and data processing libraries like librosa, soundfile, pandas
- Knowledge of ML concepts and ML frameworks like Tensorflow and Pytorch is recommended.
- Proficiency with modern software development concepts and DevOps: version control (Git), containerization, CI/CD pipelines, etc.
- Experience with web crawling techniques and frameworks in Python is a plus.
- Familiarity with cloud services, especially Google Cloud Platform, is a plus.
- Ability to work independently and as part of a team including strong communication and organizational skills.
- Adaptability, self-motivation, and a proactive attitude to thrive in a fast-paced startup environment.

**Benefits**:

- Competitive Compensation: Enjoy a salary package with additional benefits.
- Learning Opportunities: Work alongside a team of super smart and ambitious people.
- Startup Culture: Immerse yourself in a dynamic and innovative startup culture with a collaborative and passionate team.
- Professional Growth: Take ownership of your role, with opportunities for career advancement as we expand.
- Impact: Join a groundbreaking startup at a pivotal growth stage and directly influence our success.
- Contribute to the Future: Be part of a company committed to shaping the future of audio technology and speech enhancement.

We'd love to hear from you Join ai|coustics in redefining the future of speech quality. To apply, please send your resume and relevant information about your experience.



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