AI Engineer (all genders)

Seedbox

Germany · Full-time · Associate

Join Our Team at Seedbox: Innovating for a Better Tomorrow

Are you ready to be part of a visionary team that's redefining the landscape of AI-driven innovation? At Seedbox, we are more than just a company; we are a dynamic force of change-makers, driven by the shared vision of our founders. Our journey began with a bold idea – to harness the untapped potential of Artificial Intelligence in transforming the German "Mittelstand," the backbone of our economy. Today, we stand as a beacon of transformation, seamlessly blending the rich heritage of corporate innovation with cutting-edge AI expertise.

Our focus is on creating AI solutions that are intuitive and seamlessly integrate with our client's business processes. Thus, our approach is deeply collaborative, from ideation to development, believing that the best results come from transparency, sharing knowledge and commitment to the highest standards. Innovation is at the heart of everything we do. By combining cutting-edge AI technologies with proven expertise in corporate innovation, we aim to drive transformation in our clients' businesses.

Our team is dedicated to exploring new frontiers, constantly improving our methodologies, and pushing the boundaries of what's possible, thus providing the most up-to-date solutions. With everything we do, we are committed to ethical obligations, security implications and sustainability.

Our goal is to ensure that AI serves humanity positively, contributing to a better tomorrow for everyone.

Tasks

Join our innovative team as an AI Engineer, where you'll be at the forefront of developing and deploying cutting-edge AI solutions. You’ll collaborate with a dynamic group of engineers, data scientists, and product developers to build intelligent systems that drive our mission forward. If you have a passion for AI and a knack for solving complex problems, we’d love to hear from you.

Design, train, and optimize machine learning and deep learning models to meet specific business needs.
Collect, preprocess, and analyze large datasets to ensure high-quality data input for AI models.
Choose and implement the most suitable algorithms and tools based on project requirements.
Deploy AI models into production, ensuring seamless integration with existing systems and continuous monitoring post-deployment.
Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to align AI initiatives with overall business objectives.
Maintain clear and comprehensive documentation of AI models, processes, and methodologies.
Stay updated with the latest AI research and trends, experimenting with new techniques and tools to enhance our AI capabilities.
Monitor, evaluate, and improve the performance of AI systems in real-time.

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.
At least 3 years of hands-on experience in AI, machine learning, data science, or related fields.
Strong programming skills in Python, Java, or similar, with experience in libraries such as TensorFlow, PyTorch, or Keras.
In-depth understanding of machine learning, deep learning, and NLP techniques.
Solid knowledge of linear algebra, calculus, probability, and statistics.
Experience in data manipulation and processing using tools like Pandas, NumPy, or SQL.
Familiarity with cloud platforms like AWS, Google Cloud, or Azure for AI model deployment.
Proficiency in using Git/GitHub for version control and collaborative development.
Strong analytical and problem-solving skills with the ability to tackle complex AI challenges.
Ability to effectively communicate complex technical concepts to a variety of stakeholders.
A commitment to staying current with advancements in AI and machine learning.
You have the ability to communicate fluently in both spoken and written English.

Benefits

Competitive Salary: Attractive, fair, and experience-based remuneration.
Flat Hierarchies: Encouragement of personal initiative and room for your own ideas.
Career Advancement: Dynamic environment with ample opportunities for professional growth.
Flexible Remote Culture: Adaptability in work location and hours, supported by efficient remote working tools.
Professional Development: Ideal environment for both personal and professional growth, with access to training and mentorship programs.
Modern Technology: State-of-the-art Apple devices and software for efficient and enjoyable work.
Prime Location: Attractive office in central Stuttgart, easily accessible by public transport and with ample parking.
Vibrant Team Culture: Regular team events, a fun atmosphere, and humorous colleagues.
Social and Sustainable Responsibility: Engage in meaningful sustainability and community initiatives within the company.
Performance Recognition: Working alongside performance-oriented, highly motivated colleagues in an ambitious setting, with clear recognition of achievements.
Employee Recognition Programs: Implement programs that regularly recognize and reward employees for their hard work and achievements.

Imagine being part of a team that is closely involved in one of the most exciting and groundbreaking topics of our time – Artificial Intelligence. With us, you have a front-row seat and a unique opportunity to actively shape the future.

We are a company that doesn’t just talk the talk, but walks the walk. Our employees are passionate about what they do, and that passion is what sets us apart. We don’t just live for AI; we create it.

To help you reach your full potential and develop outstanding AI products with us, we provide all the necessary conditions. From cutting-edge technology to a supportive and inspiring work environment – you’ll find everything you need to achieve greatness here.

Does this sound like the perfect place for you? Then apply now and join us on our mission to make a lasting impact on the world through Artificial Intelligence.

Key Skills

Ranked by relevance

c ai ha ui machine learning pan artificial intelligence deep learning unity cloud git ssl ats product manager tensorflow pytorch python pandas keras numpy java sql aws lua spi esp pic lan nac das nat

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