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Machine learning engineer

Leipzig
THRYVE
Ingenieur
Inserat online seit: 30 Mai
Beschreibung

About the Company:

We’re a team of 100+ innovators driving change through open-source tech and AI, co-creating the future with our customers. Our expertise spans full-stack development and custom AI engineering, delivering smart, scalable solutions that power digital transformation. With agile methods at our core, we create impactful products like an AI-driven chatbot and next-gen video platform for e-learning.


Live Projects:

We're launching the Sparkassen-KIPilot—a cutting-edge AI assistant that boosts productivity by automating tasks, analyzing data, and generating customer communications for Sparkassen employees.


What You’ll Do:

* Collaborate with a highly skilled AI team to develop cutting-edge AI solutions for both in-house products and tailored customer projects.
* Enjoy a dynamic mix of DevOps, Python backend development, and machine learning, ensuring variety in your daily work.
* Work on NLP-focused projects, including Large Language Models (LLMs), while also exploring exciting fields like computer vision.
* Prepare and process large datasets to power AI models and improve solution performance.
* Engage in daily collaboration with cross-functional teams, including AI experts, engineers, and stakeholders, to drive innovation.
* Contribute your own ideas and independently developed solutions to enhance product capabilities and push boundaries.


What You Bring:

* A master's degree in (Business) Informatics, Software Engineering, AI or a related field.
* Strong experience in machine learning or AI, ideally using Sklearn, TensorFlow, or PyTorch.
* Passion for agile software development, a creative mindset, and curiosity for emerging technologies.
* Proficiency in Python with additional knowledge of other languages like C/C++ or TypeScript being a plus.
* Fluent German and English communication skills.


What they Offer:

* Continuous Learning – Training to boost your skills
* Flexible Working – Set your hours, work remotely or on campus
* Compensation for Overtime – Time off or pay for overtime hours
* Employee Benefits – Discounts, fitness options, and pension plan support
* Team Events – Parties, challenges, and meetups
* Family Support – Paid leave for child illness or childcare issues
* Compensation package - Up to €75,000


Hiring for graduates, mid levels & Senior engineers. Reduced hours are acceptable.

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