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Develop low-footprint text-to-speech solutions using neural speech generation, integrate with embedded systems, and design machine learning models in C++ and Python.
The project focuses on developing and delivering low-footprint text-to-speech solutions for various customers, including new languages and voices implementation. The work involves utilizing neural speech generation technologies and integrating with embedded systems.
Tasks
- Design and implement machine learning algorithms and models using C++ and Python
- Collaborate with cross-functional teams to integrate machine learning solutions into existing systems
- Analyze and preprocess large datasets to ensure high-quality input for machine learning models
- Conduct experiments to evaluate model performance and optimize algorithms
- Stay updated with the latest advancements in machine learning and artificial intelligence
- Document processes and results to facilitate knowledge sharing within the team
- BS/MS in Computer Science, Electrical Engineering, Mathematics, or related technical field
- Minimum 2-3 years of software development experience
- Strong proficiency in C++ and Python
- Experience with machine learning models and/or speech generation technologies
- Embedded systems development experience
- Strong understanding of algorithms and data structures
- Experience with Linux/Unix environments
- C++
- Python
- machine learning algorithms
- machine learning models
- neural speech generation technologies
- embedded systems
- data analysis
- data preprocessing
- algorithm optimization
- Linux/Unix environments
- cross-functional team collaboration
- documentation
- Hybrid work from Gdańsk
- MultiSport Plus
- Group insurance
- Medicover Premium
- e-learning platform
Key Skills
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