Job Description
Are you a visionary engineer ready to define the next generation of intelligent systems? Apex Horizon is seeking a Senior AI Architect to lead the development of groundbreaking autonomous agents and generative AI solutions. In this role, you will bridge the gap between theoretical machine learning research and scalable production systems, directly impacting how enterprises interact with the future of technology.
We are looking for someone who thrives in ambiguity and possesses an exceptional ability to architect robust, high-performance systems that solve complex, real-world problems.
Responsibilities
- Architect and implement scalable machine learning pipelines and neural network architectures using Python, PyTorch, and TensorFlow.
- Lead the design and deployment of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems.
- Optimize model inference performance and reduce latency for real-time applications.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to define technical roadmaps.
- Establish best practices for MLOps, including model versioning, monitoring, and continuous integration/deployment (CI/CD).
- Research and evaluate emerging AI technologies to keep our stack at the cutting edge.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field (or equivalent professional experience).
- 5+ years of professional experience in software engineering and machine learning.
- Deep expertise in deep learning frameworks (PyTorch, TensorFlow) and experience fine-tuning foundation models.
- Strong proficiency in Python and distributed computing systems (e.g., Apache Spark, Kubernetes).
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Docker Compose).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.