Job Description
Shape the Future of Intelligence
Are you ready to architect the digital landscape of 2026? Horizon Systems Inc. is seeking a visionary Senior AI Engineer to lead our next-gen infrastructure project. We are building the foundational technology that will define the autonomous era, and we need a technical leader who thrives in ambiguity and innovation.
Why Join Us?
At Horizon Systems, we don't just predict the future; we build it. You will be part of a high-performing team dedicated to pushing the boundaries of machine learning, robotics, and predictive analytics. This is a rare opportunity to have a direct impact on the roadmap that will shape the technological landscape of 2026.
Key Responsibilities
- Architect and deploy scalable machine learning pipelines designed for high-volume, real-time data processing.
- Lead the research and development of advanced neural network models specifically tailored for the 2026 autonomous infrastructure rollout.
- Optimize algorithmic efficiency to minimize latency in edge computing environments and enhance system reliability.
- Collaborate with cross-functional teams of engineers, data scientists, and product managers to translate complex requirements into robust technical solutions.
- Mentor junior engineers and establish best practices for code quality, testing, and deployment in cloud-native environments.
- Conduct rigorous performance analysis and implement cutting-edge optimizations to drive system scalability.
Qualifications
- Master’s degree or PhD in Computer Science, Mathematics, or a related technical field.
- 5+ years of professional experience designing and deploying production-grade AI/ML systems.
- Expert proficiency in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
- Strong background in distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
- Experience with big data technologies (Spark, Hadoop) and high-performance computing.
- Demonstrated ability to lead technical strategy and mentor engineering teams in a fast-paced environment.
Responsibilities
- Architect and deploy scalable machine learning pipelines designed for high-volume, real-time data processing.
- Lead the research and development of advanced neural network models specifically tailored for the 2026 autonomous infrastructure rollout.
- Optimize algorithmic efficiency to minimize latency in edge computing environments and enhance system reliability.
- Collaborate with cross-functional teams of engineers, data scientists, and product managers to translate complex requirements into robust technical solutions.
- Mentor junior engineers and establish best practices for code quality, testing, and deployment in cloud-native environments.
- Conduct rigorous performance analysis and implement cutting-edge optimizations to drive system scalability.
Qualifications
- Master’s degree or PhD in Computer Science, Mathematics, or a related technical field.
- 5+ years of professional experience designing and deploying production-grade AI/ML systems.
- Expert proficiency in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
- Strong background in distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
- Experience with big data technologies (Spark, Hadoop) and high-performance computing.
- Demonstrated ability to lead technical strategy and mentor engineering teams in a fast-paced environment.