Job Description
Are you ready to shape the technological landscape of 2026? Nexus Horizon Technologies is seeking a visionary Lead AI Research Scientist to architect the next generation of artificial intelligence solutions. In this pivotal role, you will bridge the gap between theoretical research and practical application, driving innovation that defines our roadmap for the future.
We are looking for a thought leader who thrives in ambiguity and possesses the technical prowess to build scalable, ethical, and high-performance AI systems. Join a team where your work directly impacts global industries and helps define the future of human-machine interaction.
Responsibilities
- Architect & Lead: Design and oversee the development of cutting-edge AI and Machine Learning models, ensuring scalability and high performance for 2026 roadmaps.
- R&D Strategy: Spearhead research initiatives in Generative AI and Quantum Computing applications to maintain a competitive edge.
- Model Deployment: Translate complex research into production-ready models using robust MLOps pipelines and cloud infrastructure.
- Team Mentorship: Guide a team of junior data scientists and engineers, fostering a culture of continuous learning and innovation.
- Ethical AI: Establish frameworks for responsible AI, ensuring compliance with evolving global regulations and ethical standards.
- Stakeholder Communication: Collaborate with cross-functional product teams to translate technical requirements into business value.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 8+ years of experience in AI/ML, with at least 3 years in a leadership or senior research capacity.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with Large Language Models (LLMs).
- Architecture: Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and MLOps practices.
- Problem Solving: Proven track record of solving complex, ambiguous problems in high-stakes environments.
- Communication: Excellent verbal and written communication skills, capable of presenting technical concepts to non-technical stakeholders.