Job Description
We are building the infrastructure for tomorrow. Apex Horizon Systems is seeking a visionary Senior AI & Autonomy Engineer to lead the development of next-generation neural architectures. In this role, you will be at the forefront of autonomous decision-making systems, pushing the boundaries of what is possible in 2026 and beyond.
You will be responsible for designing scalable machine learning pipelines, optimizing inference latency, and ensuring robust security protocols for autonomous fleets. If you are passionate about the future of technology and want to shape the digital landscape, we want to hear from you.
Responsibilities
- Design and deploy advanced machine learning models for real-time autonomous decision-making systems.
- Architect high-scale, fault-tolerant neural network infrastructure using Kubernetes and distributed computing.
- Optimize model performance for edge deployment in low-latency environments.
- Collaborate with cross-functional R&D teams to integrate AI capabilities into hardware platforms.
- Mentor junior engineers and establish best practices for AI ethics and data governance.
- Conduct rigorous code reviews and system architecture audits to ensure operational excellence.
Qualifications
- Master’s degree in Computer Science, Engineering, or a related field (PhD preferred).
- 5+ years of professional experience in machine learning engineering, deep learning, or robotics.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Strong experience with cloud platforms (AWS/GCP) and container orchestration (Kubernetes/Docker).
- Demonstrated ability to deploy and scale large-scale AI models in production environments.
- Excellent problem-solving skills and a passion for innovation in the AI space.