Senior Applied AI Engineer at VidLab7 optimizing machine learning models for interactive AI applications. Collaborating on architecture and real-time integration of AI services in a hybrid work environment.
Responsibilities
Optimize and fine-tune machine learning models for lip-syncing, gesture synthesis, and natural language understanding.
Integrate LLM-based agents with real-time rendering pipelines.
Optimize pipelines for low-latency streaming and real-time performance.
Collaborate on architecture for scalable, efficient AI services.
Write clean, maintainable code and documentation, and participate in code reviews.
Stay up to date with the latest research in generative AI, real-time pipelines, and conversational agents.
Requirements
A self-driven innovator with a growth mindset, capable of thriving in a very fast-paced, dynamic environment.
Strong problem-solving ability, curiosity, and a passion for pushing the limits of interactive AI.
Strong experience in machine learning / deep learning, particularly with models for vision, NLP, or generative media.
Solid programming skills in Python (e.g., PyTorch, TensorFlow); familiarity with C++ is a plus.
Experience with real-time systems, streaming pipelines, or latency-sensitive applications.
Understanding of LLMs, dialogue systems, or multimodal AI.
Familiarity with cloud services (e.g., GCP, AWS) and containerization (e.g., Docker, Kubernetes).
(Optional) Experience with MLOps and modern software development cycles.
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