Job Description
Quantum Horizon Labs is seeking a visionary Generative AI Engineer to define the technological landscape of 2026 and beyond. In this pivotal role, you will architect and deploy next-generation artificial intelligence systems that push the boundaries of creativity and logic. We are not just building software; we are engineering the future of human-machine interaction.
As a key player in our AI division, you will work in a high-performance environment focused on Large Language Models (LLMs), multimodal AI, and ethical AI deployment. You will have the autonomy to experiment with cutting-edge research while ensuring robust, scalable production pipelines.
Responsibilities
- Advanced Model Architecture: Design and implement state-of-the-art generative models, including Transformers, Diffusion models, and LLMs, using PyTorch and TensorFlow.
- Performance Optimization: Engineer efficient inference engines to reduce latency and maximize throughput for real-time applications.
- Research Integration: Stay ahead of the industry curve by rapidly prototyping solutions based on the latest academic papers and breakthroughs.
- MLOps Implementation: Build and maintain CI/CD pipelines for model training, validation, and deployment in cloud-native environments.
- Cross-Functional Collaboration: Partner with product strategists and data scientists to translate complex business requirements into intelligent AI solutions.
Qualifications
- Experience: 5+ years of professional experience in machine learning, deep learning, or NLP.
- Technical Expertise: Proficiency in Python, C++, and frameworks such as PyTorch or TensorFlow.
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent industry experience).
- LLM Mastery: Deep understanding of Transformer architectures, attention mechanisms, and fine-tuning techniques (e.g., LoRA, QLoRA).
- Problem Solving: Exceptional ability to tackle complex mathematical and algorithmic challenges in high-pressure environments.