AI Developer
nr ref: 63/9/2024/MG/88047W Antal zajmujemy się rekrutacją od ponad 20 lat. Dzięki działaniu w 10 wyspecjalizowanych dywizjach, świetnie orientujemy się w aktualnych trendach branżowych. Precyzyjnie określamy specyfikę stanowiska, klasyfikując kluczowe umiejętności i niezbędne kwalifikacje. Naszą misją jest nie tylko znalezienie kandydata, którego kompetencje wpisują się w wymagania danego ogłoszenia, ale przede wszystkim stanowiska, spełniającego oczekiwania kandydata. Numer rejestru agencji zatrudnienia: 496.
Generative AI Developer (Mid-Level)
Warsaw - HYBRID MODEL
B2B contract
We are looking for an experienced Generative AI Developer to design, develop, and deploy AI models that produce high-quality, creative outputs. You'll collaborate with automation specialists and product managers to deliver AI-driven solutions that meet business goals and enhance user experience.
Key Responsibilities:
- Model Development: Design and optimize generative models (GANs, VAEs, Transformers) for text, image, and audio generation.
- Data Management: Handle large datasets, ensuring quality and integrity through preprocessing and augmentation.
- Research & Innovation: Stay current with generative AI research and integrate new techniques.
- Collaboration: Work with cross-functional teams to define AI solutions and integrate models into production.
- Performance Optimization: Monitor and enhance model performance, scalability, and latency.
- Documentation: Maintain detailed records of model architecture and training processes.
- Testing & Validation: Implement testing protocols for model robustness.
- Mentorship: Guide junior developers and interns.
Qualifications:
- Experience: 3-5 years in AI/ML development, focused on generative models.
- Education: Bachelor's or master’s in Computer Science, Engineering, or a related field.
- Technical Skills:
- Proficiency in Python, ML libraries (e.g., TensorFlow, PyTorch).
- Expertise in generative models (GANs, VAEs, Transformers).
- Knowledge of deep learning, cloud platforms, and containerization (AWS, Docker).
- Experience with large datasets and data preprocessing.
- Soft Skills:
- Strong problem-solving, communication, and teamwork abilities.
- Effective project management and time management skills.
- Bonus Skills: NLP, computer vision, audio processing, reinforcement learning, or contributions to open-source projects.