Job Description
We are seeking a visionary Senior AI Architect to join Nexus Horizon Labs and lead the charge in defining the technological landscape for 2026 and beyond. In an era defined by rapid advancements in Generative AI and Neural Networks, your role will be pivotal in architecting systems that are not just functional, but transformative.
Why Join Us?
• Work on cutting-edge research projects that push the boundaries of artificial intelligence.
• Competitive equity package and comprehensive benefits.
• Flexible remote-first culture with a focus on innovation.
Core Responsibilities:
• Architect and deploy scalable machine learning pipelines using Python and modern cloud infrastructure.
• Lead the research and implementation of Large Language Models (LLMs) and computer vision applications.
• Optimize model inference speed and accuracy for high-volume production environments.
• Collaborate with cross-functional teams to integrate advanced AI into core product features.
• Mentor junior engineers and conduct code reviews to ensure technical excellence.
Qualifications:
• PhD or Master’s degree in Computer Science, Mathematics, or a related field.
• 5+ years of experience in machine learning engineering or artificial intelligence research.
• Deep proficiency in frameworks such as PyTorch, TensorFlow, or JAX.
• Strong understanding of distributed systems and cloud architecture (AWS, GCP, Azure).
• Proven track record of deploying high-impact AI solutions to production.
Responsibilities
- Architect and deploy scalable machine learning pipelines using Python and modern cloud infrastructure.
- Lead the research and implementation of Large Language Models (LLMs) and computer vision applications.
- Optimize model inference speed and accuracy for high-volume production environments.
- Collaborate with cross-functional teams to integrate advanced AI into core product features.
- Mentor junior engineers and conduct code reviews to ensure technical excellence.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- 5+ years of experience in machine learning engineering or artificial intelligence research.
- Deep proficiency in frameworks such as PyTorch, TensorFlow, or JAX.
- Strong understanding of distributed systems and cloud architecture (AWS, GCP, Azure).
- Proven track record of deploying high-impact AI solutions to production.