Job Description
We are on a mission to architect the intelligence of tomorrow. Nexus Horizon AI is seeking a visionary Future-Proof AI/ML Architect to lead our research and development division. In this pivotal role, you will build the foundational models and ethical frameworks that will power our operations well into the year 2026 and beyond.
Our ideal candidate is not just proficient in current technologies but is deeply invested in the trajectory of artificial intelligence. You will be responsible for designing scalable neural networks, ensuring data integrity, and anticipating the regulatory and technological shifts that define the next era of tech.
Why Join Us?
- Impact: Shape the AI landscape for the next decade.
- Compensation: Competitive salary and equity package.
- Environment: Collaborative, forward-thinking, and remote-first culture.
Responsibilities
- Design and implement robust machine learning architectures that remain scalable and relevant through 2026.
- Lead the research and development of cutting-edge AI models, focusing on generative AI and predictive analytics.
- Ensure all AI systems adhere to the highest standards of ethical AI, transparency, and bias mitigation.
- Collaborate with cross-functional teams to integrate AI solutions into core business products.
- Mentor junior engineers and researchers, fostering a culture of continuous learning and innovation.
- Monitor industry trends and regulatory changes to future-proof the company's technology stack.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- 7+ years of experience in AI/ML engineering with a proven track record of deploying large-scale models.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
- Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.