Job Description
Are you ready to define the infrastructure of tomorrow?
Apex Horizon Technologies is pioneering the Project 2026 initiative, a next-generation framework designed to revolutionize how autonomous systems interact with the physical world. We are looking for a visionary Senior AI Architect to lead the technical strategy and implementation of our core generative AI models.
In this role, you will bridge the gap between theoretical research and scalable production engineering. You will be responsible for designing the neural architectures that will power the next decade of intelligent automation. If you are passionate about pushing the boundaries of what is possible with Large Language Models (LLMs) and Computer Vision, we want to hear from you.
Why Join Us?
- Work on cutting-edge technology that defines the future.
- Competitive equity package and remote-first flexibility.
- Access to top-tier hardware and research datasets.
Responsibilities
- Architect Design: Design and implement scalable, high-performance AI architectures for the Project 2026 ecosystem, focusing on efficiency and latency reduction.
- Model Optimization: Fine-tune and optimize state-of-the-art foundation models (e.g., LLaMA, GPT variants) for specific enterprise use cases.
- Production Deployment: Lead the deployment of AI models into production environments using containerization (Docker/Kubernetes) and MLOps pipelines.
- Technical Leadership: Mentor a team of data scientists and ML engineers, conducting code reviews and architectural reviews to ensure best practices.
- Research & Development: Stay ahead of the curve by integrating the latest advancements in AI research into our existing product lines.
- Performance Tuning: Continuously monitor and improve model accuracy, inference speed, and resource utilization.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 5+ years of professional experience in building and deploying production-grade AI/ML systems.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Strong understanding of transformer architectures.
- Cloud Expertise: Extensive experience with cloud platforms (AWS, GCP, or Azure) and serverless computing.
- Problem Solving: Demonstrated ability to solve complex mathematical and engineering problems in high-pressure environments.
- Communication: Excellent verbal and written communication skills, with the ability to translate technical concepts to non-technical stakeholders.