Job Description
We are pioneering the next generation of digital ecosystems, and we are looking for a visionary Senior AI Engineer to architect the core infrastructure for our 2026 vision. This is not just a software engineering role; it is a chance to define the future of autonomous systems and predictive modeling.
In this position, you will lead a cross-functional team in developing scalable machine learning models that power our proprietary simulation platforms. You will work with cutting-edge hardware accelerators and deploy deep learning architectures that push the boundaries of what is currently possible in real-time analytics.
Join us in building the backbone of tomorrow's intelligence today.
Responsibilities
- Architect and deploy scalable deep learning models for the 2026 simulation framework.
- Optimize neural network performance for high-frequency data processing and edge devices.
- Collaborate with data scientists and product managers to translate business requirements into technical AI solutions.
- Implement robust MLOps pipelines to ensure model reproducibility and monitoring.
- Research and integrate state-of-the-art algorithms from top-tier academic conferences.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Minimum of 5 years of professional experience in machine learning engineering.
- Deep proficiency in Python, PyTorch, or TensorFlow.
- Experience with GPU acceleration (CUDA) and high-performance computing clusters.
- Strong understanding of distributed systems and cloud architecture (AWS/GCP/Azure).
- Proven track record of deploying models to production environments.