Job Description
We are seeking a visionary Lead AI Architect to spearhead our groundbreaking research into Artificial General Intelligence (AGI) systems designed for the 2026 era. At Nexus Future Labs, we don't just predict the future; we engineer it. You will be at the helm of designing scalable, autonomous AI infrastructures that redefine human-machine interaction.
About the Role
In this pivotal position, you will bridge the gap between theoretical research and practical deployment. You will lead a high-performance team of machine learning engineers and data scientists to build next-generation neural networks capable of complex reasoning and adaptive learning.
If you are passionate about the future of technology and want to leave a lasting legacy in the AI landscape, we want to hear from you.
Responsibilities
- Architect and design cutting-edge deep learning models and neural network architectures focused on 2026-era scalability.
- Lead the research and development of Autonomous Agents and Reinforcement Learning systems to solve complex, unstructured problems.
- Oversee the end-to-end machine learning pipeline, from data ingestion and preprocessing to model training, evaluation, and deployment.
- Define technical vision and strategy for AI infrastructure, ensuring high availability, security, and performance.
- Collaborate with cross-functional teams to integrate AI capabilities into core product ecosystems.
- Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Stay ahead of the curve on emerging AI trends, including LLMs, Transformers, and Quantum Computing integration.
Qualifications
- Master’s or PhD degree in Computer Science, Mathematics, or a related field, with a focus on Artificial Intelligence or Machine Learning.
- Minimum of 5+ years of professional experience in designing and deploying large-scale machine learning systems.
- Deep expertise in Python, TensorFlow, PyTorch, and C++.
- Proven track record of implementing Transformer models or Large Language Models in production environments.
- Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and MLOps practices.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, research-driven environment.
- Exceptional communication skills, capable of translating complex technical concepts for diverse stakeholders.