Senior AI Integration Developer
Indexed description
As our Senior AI Engineer, Multimodal Systems, you will architect and build the next generation of AI-powered features by integrating computer vision, speech processing, and natural language understanding. You’ll transform raw data into intelligent, low-latency systems that define the future of video content.
Responsibilities
- Own the technical roadmap for multimodal AI initiatives.
- Design, develop, and deploy sophisticated AI models from research to production.
- Build and optimize object detection for real-time video analysis.
- Develop industry-leading ASR and TTS systems.
- Create advanced semantic search for text data.
- Integrate AI systems into robust, scalable pipelines and optimize for performance.
- Mentor junior and mid level engineers and contribute to a culture of innovation.
- Master's or Ph.D. in Computer Science, AI, or a related quantitative field.
- 3+ years of hands-on experience developing and deploying production AI/ML systems.
- Expertise in Python, including ML frameworks (TensorFlow, PyTorch) and web frameworks (Flask, FastAPI).
- Deep understanding of deep learning architectures (Transformers, CNNs, RNNs).
- Solid grasp of NLP concepts, embedding techniques, and vector search.
- Proven experience deploying ML models in major cloud environments (AWS, GCP, Azure).
- Experience with LLM tools, vector databases, signal processing, MLOps, or distributed computing.
Time zone: CET
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