Job Description
At Quantum Horizon AI, we are not just building software; we are architecting the future. As we look toward 2026, we are seeking a visionary Senior AI & Machine Learning Engineer to spearhead our next-generation neural network initiatives. If you are passionate about pushing the boundaries of Generative AI and Large Language Models, this is your chance to lead from the front. You will define the architectural standards for our upcoming autonomous agent systems and ensure our solutions remain at the cutting edge of technology.
Responsibilities
- Lead the design and deployment of scalable ML models tailored for the 2026 enterprise landscape.
- Develop and optimize algorithms for Large Language Models (LLMs) and multimodal AI systems.
- Spearhead research initiatives into AI safety, ethical alignment, and future-proofing neural architectures.
- Mentor a high-performance team of data scientists and machine learning engineers.
- Collaborate with cross-functional product leaders to translate complex 2026 roadmaps into technical realities.
- Drive the implementation of MLOps pipelines to ensure high availability and real-time inference.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in machine learning engineering and deep learning.
- Deep expertise in Python, PyTorch, TensorFlow, and cloud infrastructure (AWS/GCP/Azure).
- Proven track record of deploying LLMs in production environments.
- Experience with MLOps, containerization (Docker/Kubernetes), and real-time data pipeline management.
- Strong understanding of the ethical implications and safety protocols of advanced AI systems.