Job Description
The Future of Intelligence Starts Here
Nexus Future Labs is pioneering the next generation of Artificial Intelligence, targeting breakthroughs that define the 2026 era. We are seeking a visionary AI & Machine Learning Architect to lead our research division and architect scalable, ethical, and high-performance AI systems that will power the digital economy of tomorrow.
In this role, you won't just be writing code; you will be defining the roadmap for the technologies that will dominate the global market in 2026. If you are passionate about Generative AI, Large Language Models, and the ethical implications of AI scaling, we want to hear from you.
Responsibilities
- Architect 2026-Ready Systems: Design and implement cutting-edge machine learning infrastructure capable of handling billions of parameters and real-time inference.
- Lead R&D Initiatives: Spearhead research into emerging paradigms such as Multimodal AI and Autonomous Agent frameworks.
- Optimize Performance: Drive efficiency in training pipelines and model deployment using advanced quantization and distributed computing techniques.
- Ethical AI Governance: Establish frameworks for bias mitigation, transparency, and safety in large-scale model deployment.
- Team Leadership: Mentor a world-class team of ML Engineers and Data Scientists, fostering a culture of innovation and continuous learning.
Qualifications
- Experience: 7+ years of professional experience in Machine Learning, with at least 3 years in a senior architecture or lead engineering role.
- Technical Mastery: Deep proficiency in Python, PyTorch, and TensorFlow; extensive experience with Large Language Models (LLMs) and Generative AI.
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
- Cloud Expertise: Proven track record deploying models on major cloud platforms (AWS, GCP, or Azure) with a focus on serverless and edge computing.
- Problem Solving: Demonstrated ability to solve complex, unstructured problems in high-velocity environments.