Job Description
Are you ready to define the future of Artificial Intelligence?
Nexus Innovations is seeking a visionary Senior AI/ML Architect (2026 Roadmap) to lead our next-generation research division. In this pivotal role, you will architect scalable, secure, and efficient AI systems that will define the landscape of technology in 2026 and beyond. We are looking for a thought leader who doesn't just implement today's models but builds the infrastructure for tomorrow's autonomous agents and Generative AI ecosystems.
Join a team of elite engineers and researchers pushing the boundaries of what is possible with Large Language Models (LLMs), computer vision, and reinforcement learning.
Responsibilities
- Lead 2026 AI Strategy: Define the architectural roadmap for our AI infrastructure, ensuring scalability, security, and performance for future AI workloads.
- Design LLM Pipelines: Architect and optimize end-to-end Machine Learning pipelines, focusing on Retrieval-Augmented Generation (RAG) and Fine-Tuning strategies.
- Model Optimization: Implement advanced quantization and pruning techniques to reduce latency and cost in production environments.
- Autonomous Agents: Design the core logic and data flow for autonomous AI agents capable of complex decision-making tasks.
- Technical Mentorship: Guide a team of junior data scientists and ML engineers, fostering a culture of innovation and technical excellence.
- Cloud Infrastructure: Oversee the deployment of models on major cloud providers (AWS/GCP/Azure) with a focus on Kubernetes and containerization.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- Experience: 7+ years of experience in software engineering and machine learning, with at least 3 years in a lead architect role.
- Core Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Deep understanding of Deep Neural Networks and Transformer architectures.
- Infrastructure: Strong background in MLOps, CI/CD, and cloud-native architecture.
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems in high-stakes environments.
- Communication: Exceptional verbal and written communication skills for technical presentations and stakeholder management.