Job Description
The Future is Now. Nexus Horizon Systems is leading the charge in defining the technological landscape for the year 2026. We are looking for visionary engineers to architect scalable, AI-driven solutions that will redefine industry standards. If you are passionate about the intersection of generative AI and infrastructure scalability, this is your opportunity to build the foundation of tomorrow.
Why Join Us?
- Work on cutting-edge Generative AI and LLM integration.
- Competitive compensation and equity packages.
- Remote-first culture with a focus on innovation.
Responsibilities
- Architect AI Solutions: Design and implement robust machine learning pipelines and generative models tailored for the 2026 roadmap.
- System Optimization: Enhance model latency, accuracy, and throughput on cloud-native infrastructure (AWS/GCP).
- Research & Development: Stay ahead of the curve by exploring novel architectures and emerging AI paradigms.
- Collaboration: Partner with cross-functional teams (Product, Data Science, DevOps) to translate business goals into technical reality.
- Code Review: Mentor junior engineers and ensure code quality, security, and scalability standards are met.
- Deployment: Manage the full lifecycle of ML models from experimentation to production deployment.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
- Experience: 5+ years of professional experience in Machine Learning Engineering or AI Architecture.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
- Cloud Expertise: Strong background in cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes).
- Leadership: Demonstrated ability to lead technical projects and mentor teams.
- Problem Solving: Proven track record of solving complex technical challenges in high-scale environments.