Job Description
Are you ready to architect the future of technology for the year 2026? Horizon Systems is seeking a visionary Senior AI & Machine Learning Engineer to lead our cutting-edge initiatives. We are not just building software; we are defining the intelligent systems of tomorrow.
Our Mission: To revolutionize the industry by deploying scalable, ethical, and high-performance AI solutions that solve real-world problems. As part of our 2026 roadmap, you will have the autonomy to experiment with the latest breakthroughs in Generative AI and Deep Learning.
Why You'll Thrive Here:
- Impact: Work on projects that directly influence the future of enterprise technology.
- Growth: Continuous learning environment with access to the latest tech stacks and research.
- Compensation: Top-tier salary and equity packages for top-tier talent.
Responsibilities
- Design, develop, and deploy scalable machine learning models and AI systems tailored for high-traffic production environments.
- Lead the research and implementation of state-of-the-art algorithms to advance our 2026 roadmap.
- Collaborate closely with product managers, data scientists, and software engineers to integrate AI capabilities seamlessly into our platform.
- Mentor junior engineers, conduct technical code reviews, and establish best practices for AI development.
- Optimize existing models for inference speed, accuracy, and resource efficiency.
- Stay abreast of the rapidly evolving AI landscape to recommend innovative technical solutions.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, Statistics, or a related technical field.
- 5+ years of professional experience in Machine Learning or AI Engineering roles.
- Strong proficiency in Python, PyTorch, and TensorFlow.
- Proven experience with Large Language Models (LLMs) and Generative AI architectures.
- Deep understanding of distributed systems, cloud computing (AWS/GCP), and containerization (Docker/Kubernetes).
- Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.