Job Description
Are you ready to architect the future of intelligence?
We are seeking a visionary Senior AI/ML Architect to join Quantum Horizon AI. As we define the technological landscape for 2026, you will be at the forefront of revolutionizing how machines understand and interact with the world. This is not just a job; it is a mission to build the systems that will define the next decade of human-machine collaboration.
In this role, you will bridge the gap between cutting-edge research and scalable production engineering. You will lead a world-class team in designing, training, and deploying state-of-the-art Generative AI models that will power our enterprise clients globally.
Why join us?
- Shape the 2026 Roadmap for AI infrastructure.
- Competitive base salary and substantial equity package.
- Work with the brightest minds in the tech industry.
Responsibilities
- Lead AI Strategy: Define the technical vision and architectural roadmap for our AI initiatives leading up to and beyond 2026.
- Model Development: Design, train, and fine-tune large-scale Language Models (LLMs) and multimodal architectures.
- Infrastructure Scalability: Build robust, distributed, and high-performance ML pipelines capable of handling petabyte-scale data.
- Research Integration: Translate theoretical advancements in deep learning into practical, deployable software solutions.
- Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Ethical AI: Ensure all AI systems adhere to ethical guidelines and bias mitigation standards.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, Statistics, or a related technical field.
- Experience: 5+ years of professional experience in Machine Learning Engineering or Applied AI research.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Apache Spark, Kubernetes).
- Modeling: Strong background in Deep Learning, NLP, and Transformer architectures.
- Leadership: Proven track record of leading cross-functional teams and delivering complex technical projects on time.
- Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders.