Job Description
Are you ready to architect the systems that will define the technological landscape of 2026? FutureCore Systems is seeking a visionary AI Architect to lead our next-generation autonomous intelligence division. In this pivotal role, you will bridge the gap between theoretical machine learning breakthroughs and scalable production environments.
We are looking for a thought leader who doesn't just follow trends but sets them. You will be responsible for designing the neural architectures that power our autonomous logistics fleet and predictive analytics platforms. Join us in building the future, today.
Responsibilities
- Architect Design: Design and implement state-of-the-art neural network architectures optimized for edge computing and real-time processing.
- Model Optimization: Fine-tune large language models and computer vision systems to achieve sub-millisecond latency in high-stakes environments.
- R&D Leadership: Conduct in-depth research into emerging AI paradigms, including reinforcement learning and generative adversarial networks (GANs).
- Collaboration: Partner with cross-functional teams of hardware engineers and data scientists to integrate AI models seamlessly into physical systems.
- Deployment: Oversee the CI/CD pipelines for model training and deployment, ensuring high availability and robust error handling.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field.
- Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years leading architectural design in a senior role.
- Technical Stack: Deep proficiency in Python, PyTorch, TensorFlow, and C++ for high-performance computing.
- Domain Knowledge: Strong understanding of NLP, Computer Vision, or Reinforcement Learning principles.
- Problem Solving: Exceptional ability to solve complex, unstructured problems and optimize for accuracy and efficiency simultaneously.