Job Description
We are Nexus Core Systems, a forward-thinking organization pioneering the technological landscape for the year 2026 and beyond. We are seeking a visionary Senior AI/ML Architect to lead our research and development division, focusing on scalable, ethical, and high-impact artificial intelligence solutions.
In this pivotal role, you will not just build software; you will define the architectural standards for the next generation of intelligent systems. If you are passionate about the future of AI and possess a deep understanding of large language models (LLMs) and autonomous agents, we want to meet you.
Why Join Us?
- Impactful Work: Shape the core technology that will power industries in 2026.
- Cutting-Edge Tech: Work with the latest in PyTorch, TensorFlow, and GPU acceleration.
- Competitive Compensation: Top-tier salary and equity package.
Responsibilities
- Architecting Future AI Systems: Design and implement scalable machine learning pipelines and infrastructure capable of handling petabyte-scale data for real-time inference.
- Research & Development: Lead R&D initiatives exploring novel approaches in generative AI, reinforcement learning, and multimodal learning models.
- Model Optimization: Engineer efficient algorithms to reduce latency and improve the reasoning capabilities of our proprietary models.
- Team Leadership: Mentor a team of junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Ethical AI Governance: Establish and enforce guidelines to ensure AI safety, transparency, and fairness in deployment.
- Strategic Roadmapping: Collaborate with product leaders to translate business goals into technical roadmaps for future releases.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- Experience: 7+ years of professional experience in software engineering, with at least 4 years specifically in machine learning and deep learning architecture.
- Technical Stack: Proficiency in Python, C++, and experience with major ML frameworks such as PyTorch, TensorFlow, or JAX.
- System Design: Strong understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
- LLM Expertise: Proven track record of working with Large Language Models (GPT, BERT, Llama) and fine-tuning techniques.
- Communication: Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.