Job Description
We are building the operating system for the future. Join Nexus Horizon Labs as our Senior AI/ML Architect and help define the trajectory of Agentic AI and Spatial Computing for the year 2026 and beyond.
In this pivotal role, you won't just write code; you will architect the brain of autonomous systems that learn, adapt, and interact with the physical world. If you are a visionary engineer passionate about pushing the boundaries of Large Language Models (LLMs), Reinforcement Learning, and Edge AI, we want to meet you.
Why Join Us?
- Impact at Scale: Work on projects that will be integral to the next generation of digital ecosystems.
- Innovation First: We operate in a sandbox environment where experimental research is encouraged and funded.
- Top-Tier Stack: Access to cutting-edge compute infrastructure and the latest frameworks.
Ready to shape the future? Apply today.
Responsibilities
- Design and deploy scalable, fault-tolerant machine learning pipelines for real-time data processing and inference.
- Lead the research and implementation of Agentic AI workflows, enabling autonomous decision-making capabilities.
- Optimize large-scale LLMs for speed and efficiency, reducing inference latency in production environments.
- Collaborate with cross-functional teams of researchers, engineers, and product managers to translate complex AI concepts into user-centric features.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards across the AI division.
- Stay ahead of the curve by monitoring emerging trends in AI safety, ethics, and multimodal learning.
Qualifications
- Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field (or equivalent practical experience).
- 7+ years of professional experience in software engineering and machine learning architecture.
- Deep proficiency in Python, PyTorch, TensorFlow, or JAX.
- Proven track record of deploying production-ready AI models, including experience with MLOps tools (MLflow, Kubeflow, Airflow).
- Strong understanding of Natural Language Processing (NLP) and Computer Vision fundamentals.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).