Job Description
Are you ready to architect the digital landscape of 2026?
Nexus Horizon is at the forefront of next-generation intelligent systems. We are looking for a visionary Senior AI/ML Architect to lead the development of scalable Generative AI and Autonomous Agent technologies. If you are passionate about pushing the boundaries of what is possible in Artificial General Intelligence (AGI) and want to define the standards for the future, this is your opportunity.
Why Join Us?
• Work on cutting-edge projects that will shape the future of the web.
• Competitive compensation and equity packages.
• Collaborative environment with industry leaders.
• Focus on ethical AI and sustainable technology.
Responsibilities
- Architecture Design: Design and implement scalable machine learning pipelines and distributed systems for next-gen AI applications.
- Model Optimization: Lead the research and deployment of Large Language Models (LLMs) and multimodal AI agents to ensure high performance and low latency.
- Technical Leadership: Mentor junior engineers and data scientists, conducting code reviews and architectural planning sessions.
- Integration: Integrate complex AI models into existing software ecosystems and cloud infrastructure.
- Future-Proofing: Research emerging trends in AI (2026 vision) to keep our technology stack ahead of the curve.
- Governance: Establish best practices for data privacy, ethics, and compliance in AI development.
Qualifications
- Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and SQL.
- Cloud Mastery: Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- LLM Expertise: Demonstrated experience working with LLMs (e.g., GPT-4, Claude) and fine-tuning models.
- Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field.
- Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders.