Job Description
Are you ready to define the landscape of artificial intelligence in 2026? At Nexus Future Systems, we are not just predicting the future; we are engineering it. We are seeking a visionary Senior AI/ML Architect to lead our R&D division in building the next generation of generative models and autonomous agents.
In this pivotal role, you will bridge the gap between theoretical breakthroughs and scalable production systems. You will be responsible for architecting the infrastructure that powers our AGI roadmap, ensuring our solutions are ethical, efficient, and transformative.
Why Join Us?
- Work on projects that define the industry standards for 2026 and beyond.
- Competitive compensation and equity package.
- Access to state-of-the-art compute resources and research grants.
We are looking for a thought leader who thrives in ambiguity and possesses the technical depth to solve the unsolvable.
Responsibilities
- Architect and implement scalable deep learning pipelines for Large Language Models (LLMs) and multimodal systems.
- Lead the design of robust MLOps infrastructure to support model training, deployment, and monitoring at scale.
- Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
- Define best practices for data governance, model fairness, and AI ethics.
- Stay at the forefront of research trends (e.g., Transformers, Diffusion Models, Reinforcement Learning) and evaluate their applicability.
- Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related technical field.
- 5+ years of professional experience in machine learning, deep learning, or AI architecture.
- Proficiency in Python, PyTorch, or TensorFlow.
- Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Deep understanding of NLP, Computer Vision, or Reinforcement Learning algorithms.
- Proven track record of leading high-impact technical projects from conception to delivery.
- Excellent communication skills and the ability to translate complex technical concepts to non-technical stakeholders.