AI Engineer
vor 2 Monaten
At Seedbox, 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 economy. Today, we stand as a beacon of transformation, seamlessly blending the rich heritage of corporate innovation with cutting-edge AI expertise.
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.
Job SummaryWe are seeking an experienced AI Engineer to join our team. As an AI Engineer, you will be at the forefront of developing and deploying cutting-edge AI solutions. You will collaborate with a dynamic group of engineers, data scientists, and product developers to build intelligent systems that drive our mission forward.
Key Responsibilities- Design and Develop AI Models: Design, train, and optimize machine learning and deep learning models to meet specific business needs.
- Data Preparation and Analysis: Collect, preprocess, and analyze large datasets to ensure high-quality data input for AI models.
- Algorithm Selection and Implementation: Choose and implement the most suitable algorithms and tools based on project requirements.
- Model Deployment and Monitoring: Deploy AI models into production, ensuring seamless integration with existing systems and continuous monitoring post-deployment.
- Collaboration and Communication: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to align AI initiatives with overall business objectives.
- Documentation and Knowledge Sharing: Maintain clear and comprehensive documentation of AI models, processes, and methodologies.
- Staying Up-to-Date: Stay updated with the latest AI research and trends, experimenting with new techniques and tools to enhance our AI capabilities.
- Performance Evaluation and Improvement: Monitor, evaluate, and improve the performance of AI systems in real-time.
- Education: Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
- Experience: At least 3 years of hands-on experience in AI, machine learning, data science, or related fields.
- Technical Skills: Strong programming skills in Python, Java, or similar, with experience in libraries such as TensorFlow, PyTorch, or Keras.
- Knowledge and Skills: 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.
- Cloud Platforms: Familiarity with cloud platforms like AWS, Google Cloud, or Azure for AI model deployment.
- Version Control: Proficiency in using Git/GitHub for version control and collaborative development.
- Communication and Problem-Solving: 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.
- Language Skills: You have the ability to communicate fluently in both spoken and written English.
- 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.
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