Job Description
The Future is Here. Are You Ready to Architect It?
Nexus Horizon is a pioneer in next-generation autonomous intelligence. We are building the infrastructure for the world of 2026, focusing on Agentic AI, predictive autonomous systems, and ethical machine learning. We are looking for a Senior AI & Machine Learning Engineer who isn't just coding; they are defining the trajectory of artificial intelligence.
Why Join Us?
At Nexus Horizon, we don't just predict the future; we build it. You will work alongside world-class researchers and engineers to solve complex problems that shape the next decade of technology.
Responsibilities
- Model Architecture: Design and implement state-of-the-art deep learning models, specifically focusing on Large Language Models (LLMs) and multi-modal agents.
- System Optimization: Optimize model inference and training pipelines for high-scale production environments using distributed computing frameworks.
- Research & Development: Stay ahead of the curve by researching emerging algorithms and integrating cutting-edge breakthroughs into our core product suite.
- MLOps Implementation: Build robust, automated CI/CD pipelines for model training, evaluation, and deployment to ensure reliability and scalability.
- Collaboration: Partner with data scientists, software engineers, and product managers to translate complex technical requirements into scalable solutions.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, Statistics, or a related technical field.
- Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or Artificial Intelligence.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
- Tools: Experience with cloud platforms (AWS/GCP/Azure), Kubernetes, and MLOps tools (MLflow, Kubeflow).
- Problem Solving: Demonstrated ability to tackle unstructured problems and derive actionable insights from large datasets.