Job Description
Are you ready to architect the future of Artificial Intelligence?
Nexus Horizon is at the forefront of technological evolution, pioneering the systems that will define the year 2026 and beyond. We are seeking a visionary Principal AI Research Engineer to lead our Strategic AI Division. In this role, you will not just apply existing models; you will define the next generation of generative AI, autonomous agents, and predictive analytics that will reshape industries.
We are looking for a self-starter who thrives in ambiguity and has a passion for pushing the boundaries of what is possible. If you want to be part of a team that is building the infrastructure for tomorrow, today, apply now.
Responsibilities
- Define the 2026 Technical Vision: Lead the R&D strategy to develop cutting-edge AI architectures that align with our 2026 roadmap goals.
- Architect Scalable Systems: Design and implement large-scale machine learning pipelines capable of processing petabytes of data in real-time.
- Pioneering Research: Push the envelope of Natural Language Processing (NLP) and Computer Vision to create proprietary, breakthrough algorithms.
- Leadership & Mentorship: Mentor a team of junior and senior engineers, fostering a culture of innovation and technical excellence.
- Cross-Functional Collaboration: Work closely with product managers, data scientists, and security experts to integrate AI solutions seamlessly.
- Ethical AI Compliance: Ensure all AI models adhere to strict ethical guidelines and bias mitigation protocols.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field, with a focus on AI/ML.
- Experience: 8+ years of experience in machine learning engineering, with at least 3 years in a leadership or principal engineering role.
- Technical Mastery: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Apache Spark, Kubernetes).
- Algorithmic Proficiency: Strong background in Deep Learning architectures, NLP, and Reinforcement Learning.
- Problem Solving: Demonstrated ability to tackle complex, unstructured problems and deliver scalable solutions.
- Communication: Exceptional verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.