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AI Software Engineer
2 months ago
Sonatus is a well-funded, fast-paced, and fast-growing company whose cutting-edge technologies and software solutions help leading automakers build innovative software-defined vehicles. With a strong presence in the global automotive industry, our vehicle and cloud software solutions are at the forefront of the digital transformation of vehicles.
Job SummaryWe are seeking a highly motivated AI Software Engineer to join our team and help us accelerate software innovations for next-generation software-defined vehicles. As an AI Software Engineer at Sonatus, you will be responsible for leading the effort to leverage existing AI models and frameworks to solve business problems across domains.
Key Responsibilities- AI Model Development: Lead the effort to leverage existing AI models and frameworks to solve business problems across domains.
- Collaboration: Collaborate with cross-functional teams to understand requirements and translate them into AI solutions.
- Model Optimization: Fine-tune and optimize existing AI models for specific use cases and applications.
- Research and Development: Explore and experiment with various AI models, libraries, and techniques to find the best approach for solving specific problems.
- Custom Solutions: When necessary, develop custom solutions using AI techniques such as machine learning, deep learning, natural language processing, and computer vision.
- Integration: Work closely with data scientists and software engineers to integrate AI solutions into existing systems and workflows.
- Performance Monitoring: Continuously monitor and evaluate the performance of deployed AI models and make improvements as necessary.
- Documentation: Document and communicate technical designs, processes, and best practices.
- Education: Bachelor's degree in Computer Science, Engineering, Mathematics, or related field. Master's or PhD preferred.
- Programming Skills: Strong programming skills in languages such as Python, Java, or C++.
- AI Knowledge: In-depth knowledge of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and other AI technologies.
- Data Preprocessing: Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Software Development: Proficiency in software development best practices, version control systems, and agile methodologies.
- Problem-Solving: Excellent problem-solving skills and ability to think critically and analytically.
- Communication: Strong communication skills and ability to collaborate effectively with cross-functional teams.
- Cloud Experience: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
- Automotive Industry Experience: Experience in the Automotive Industry is highly desirable.
