Job Description
Apex Systems is pioneering the future of Generative AI and we are looking for a visionary Senior AI Architect (Project 2026) to join our elite engineering team. As we define the technical roadmap for our flagship AI infrastructure, you will be at the forefront of innovation, building scalable systems that power the next generation of intelligent applications.
You will be responsible for the architectural design, development, and deployment of our core AI models, ensuring they are robust, efficient, and scalable across global cloud environments.
Responsibilities
- Lead the architectural design and implementation of the Project 2026 neural network infrastructure.
- Optimize deep learning models for high-performance inference and training efficiency.
- Collaborate with data scientists and engineers to integrate cutting-edge NLP and Computer Vision technologies.
- Ensure system scalability, security, and reliability across distributed cloud environments.
- Define best practices for MLOps, CI/CD pipelines, and model governance.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field.
- 7+ years of professional experience in AI/ML engineering, with a focus on deep learning frameworks.
- Expert proficiency in Python, PyTorch, TensorFlow, and CUDA.
- Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Proven track record of deploying large-scale machine learning models into production.
- Excellent problem-solving skills and ability to work in a fast-paced, agile environment.