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Machine Learning Engineer

Machine Learning Engineer

Thryving Women in TechFrankfurt, DE
Vor 14 Tagen
Stellenbeschreibung

About the Company :

We’re a team of 80+ 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.