We are seeking a highly skilled AI and Automation Engineer to spearhead the development of our on-premise AI systems. This role involves testing cutting-edge AI models, and architecting an agent-based framework to optimize task management and execution. The ideal candidate will possess a blend of expertise in AI, systems engineering, and automation, with a focus on developing solutions that enhance our operational efficiencies in the audio and music industry. This job can be on premise in our Berlin office, hybrid, or remote – however the candidate needs to be eligible for employment status in Germany. Key Responsibilities

Establish, configure, and maintain a high-performance on-premise infrastructure tailored for AI model deployment and testing.
Evaluate and experiment with a variety of AI models to determine the best fit for our strategic initiatives.
Architect and implement an agent-based framework to dynamically allocate and manage tasks across specialized AI models.
Collaborate with cross-functional teams to develop and integrate innovative AI-driven applications that support our strategic goals in the audio domain.
Continuously monitor system performance, ensuring scalability, efficiency, and security across all deployed solutions.

Key Skills and Qualifications

Educational Background: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
AI and Machine Learning: Proficient with frameworks such as TensorFlow, PyTorch, and experience with deploying models in on-premise environments. Familiarity with contemporary AI models is highly desirable.
On-Premise Infrastructure Management: Proven experience in setting up and maintaining software for AI applications.
Programming Skills: Strong proficiency in Python, with experience in scripting for automation and system integrations. Knowledge of other programming languages is a plus.
Automation Expertise: Proven ability in automating workflows and managing data processing using web automation tools.
Data Handling: Proficient with SQL and database management. Capable of handling unstructured data and integrating it into structured formats.
Analytical Skills: Strong problem-solving skills with the ability to design and implement efficient AI-driven solutions.

Preferred Experience

Experience with multi-task AI architectures and integrating various models into cohesive workflows.
Familiarity with platforms for managing AI systems in an on-premise setting.
Experience with audio data processing and analysis in the context of the music industry is a plus.

How to Apply Interested candidates should submit their resume and a cover letter detailing their relevant experience and motivation for joining our team to engineer (at) tracksandfields (dot) com. Links to any portfolio work or relevant projects are welcome. We are looking forward to receiving your application!

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