Note: We are only looking for people residing in Germany and do not require visa sponsorship. It s a hybrid role.
Tasks and Responsibilities
- Develop highperformance tested backend web application components using Python.
- Contribute to frontend web application development using TypeScript and React.
- Develop and maintain continuous integration/deployment and automated code quality assurance processes.
- Implement best practices in TypeScript Python and CSS focusing on maintainability scalability and reusability.
- Understand and assist in design and architectural cost/benefit tradeoff decisions.
Our Tech Stack
- Languages: Python 3 JavaScript TypeScript Rust
- Tools & Frameworks: React D3.js MobX Django Rest Framework pytest Cypress Docker Compose ClickHouse (SQLbased DBMS) GitLab GitLab CI/CD Linux/Shell
Your Qualifications
- 3 years of professional experience in full stack development and software architecture.
- Advanced knowledge of Python 3 React and TypeScript.
- Strong understanding of API design web technologies tools and testing frameworks.
- Familiarity with statistical processing and data visualization.
- Thoughtful selfdriven team player who collaborates effectively.
Nice to Have:
- Knowledge of internet topology and internet transport mechanisms.
- Understanding of network traffic behavior and visualization possibilities.
- Some experience with Rust.
Core Benefits
- Full flexibility in working hours and location (after initial onboarding period).
- Health initiatives pension scheme free health checks flu vaccines.
- Learning opportunities and career development.
- Company pension and virtual stock options.
- Bike leasing program subsidized public transportation.
- Discounts on products and services.
- Additional leave for childcare during illness.
- VSOP Program (Virtual Stock Option Plan).
Bachelor s degree in Computer Science, Engineering, Mathematics, or a related field. 3+ years of experience in AI, machine learning, or a related field. Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks like TensorFlow, PyTorch, Keras, or Scikit-learn. Strong understanding of machine learning algorithms, neural networks, natural language processing (NLP), and computer vision. Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms and tools for AI and machine learning (e.g., AWS, Google Cloud, Azure). Strong problem-solving skills and ability to work with complex datasets. Excellent communication and collaboration skills, with the ability to work effectively in a team environment. Ability to manage multiple projects and deliver results on time. Preferred Qualifications: Master s or PhD in Computer Science, AI, Machine Learning, or a related field. Experience with big data technologies such as Hadoop, Spark, or Kafka. Knowledge of reinforcement learning, generative models, or advanced neural architectures. Familiarity with DevOps practices for AI/ML, including CI/CD pipelines and containerization. Relevant certifications in AI or machine learning.