Job Description
Are you ready to define the technological landscape of 2026 and beyond? Nexus Horizon is seeking a visionary Advanced AI Research Engineer to spearhead our next-generation generative AI initiatives. In this pivotal role, you will be at the forefront of innovation, building the foundational models that will power the future of enterprise intelligence.
We are looking for a self-starter who thrives in a fast-paced environment and possesses a deep understanding of machine learning architectures. If you are passionate about pushing the boundaries of what's possible in AI and want to join a team that is shaping the roadmap for the upcoming years, we want to hear from you.
Responsibilities
- Lead the research and development of scalable machine learning models designed for the 2026 horizon, focusing on generative AI and large language models.
- Architect and deploy large-scale neural networks that push the boundaries of natural language processing and computer vision.
- Collaborate with cross-functional teams to translate complex AI research into production-ready, high-performance applications.
- Optimize model inference speed and accuracy to handle high-traffic, enterprise-grade environments.
- Stay at the forefront of industry trends, publishing research papers and contributing to open-source communities.
- Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
Qualifications
- PhD or Master's degree in Computer Science, Mathematics, or a related field with a strong focus on AI/ML.
- Proven experience (5+ years) in developing, training, and deploying deep learning models at scale.
- Expert proficiency in Python, PyTorch, or TensorFlow, with a deep understanding of the underlying math.
- Strong understanding of distributed computing systems and cloud infrastructure (AWS, GCP, or Azure).
- Demonstrated ability to lead technical projects from concept to deployment and a track record of innovative problem-solving.
- Excellent communication skills, with the ability to articulate complex technical concepts to diverse audiences.