Job Description
Are you ready to define the technology landscape of 2026? Nexus Future Labs is seeking a visionary Senior AI Architect to lead our next-generation research initiatives. In this role, you won't just be writing code; you will be architecting the intelligence systems that will power our clients' futures. We are looking for a pioneer who thrives in ambiguity and is passionate about pushing the boundaries of what is possible in Artificial General Intelligence (AGI) and autonomous systems.
Join a team of elite engineers and data scientists working on breakthrough projects that are set to revolutionize industries. We offer a competitive salary, equity packages, and an environment that encourages radical innovation.
Responsibilities
- Architect Next-Gen Models: Design and implement scalable machine learning architectures for our 2026 roadmap, focusing on efficiency and interpretability.
- R&D Leadership: Spearhead research projects in Large Language Models (LLMs) and generative AI to drive product innovation.
- System Optimization: Optimize deep learning pipelines for high-throughput environments, reducing latency and improving accuracy.
- Technical Mentorship: Guide a team of junior data scientists and ML engineers, fostering a culture of continuous learning and technical excellence.
- Strategic Planning: Collaborate with product managers to translate complex technical concepts into viable product features for the future.
- Deployment & MLOps: Oversee the end-to-end deployment of AI models using CI/CD pipelines and cloud infrastructure.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field.
- Experience: 5+ years of professional experience in AI/ML engineering, with a strong portfolio of deployed models.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with MLOps tools (Kubeflow, MLflow).
- Domain Knowledge: Deep understanding of neural networks, natural language processing, or computer vision.
- Problem Solving: Exceptional ability to troubleshoot complex system architectures and debug intricate algorithms.
- Communication: Excellent verbal and written communication skills, capable of presenting technical strategies to non-technical stakeholders.