Job Description
Are you ready to shape the technological landscape of the future? Nexus Horizon Technologies is seeking a visionary Senior AI & Machine Learning Architect (2026 Vision) to lead our next-generation infrastructure.
We are not just building software for today; we are architecting the foundational systems that will define the industry in 2026 and beyond. In this role, you will bridge the gap between theoretical research and scalable production, driving innovation in generative AI, predictive analytics, and autonomous systems.
Why Join Us?
- Work with a world-class team of researchers and engineers.
- Competitive compensation and equity packages.
- Flexible remote-first culture with access to state-of-the-art hardware.
- Opportunity to publish research and influence the global AI roadmap.
Responsibilities
- Architect Future-Proof Systems: Design and implement scalable AI infrastructure capable of handling high-volume data streams and complex model deployments.
- Lead the 2026 Roadmap: Define the technical strategy and milestones for integrating emerging technologies such as LLMs and edge computing into our core product suite.
- Model Optimization: Spearhead efforts to reduce inference costs and latency while maximizing model accuracy and robustness.
- Research & Development: Stay ahead of the curve by exploring novel algorithms and methodologies to solve unsolved problems in the AI space.
- Technical Leadership: Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
- Collaboration: Partner with product managers and stakeholders to translate business objectives into technical requirements.
Qualifications
- Education: Master’s or PhD degree in Computer Science, Mathematics, Statistics, or a related field.
- Experience: Minimum of 6+ years of experience in machine learning engineering, with at least 3 years in a senior architectural or lead role.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Deep understanding of distributed systems and cloud architecture (AWS, GCP, or Azure).
- Domain Knowledge: Strong background in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Problem Solving: Demonstrated ability to tackle complex, ambiguous problems with creative, data-driven solutions.
- Communication: Excellent verbal and written communication skills, capable of presenting complex technical concepts to non-technical audiences.