Job Description
We are at the forefront of the technological revolution, building the infrastructure for the year 2026 and beyond. OmniVerse Dynamics is seeking a visionary **AI Systems Architect** to design and implement scalable, high-performance artificial intelligence solutions. In this pivotal role, you will lead the architectural vision for our next-generation neural networks and autonomous systems, ensuring they are robust, efficient, and ready for the demands of the future. You will bridge the gap between theoretical research and production-grade engineering, working alongside world-class data scientists and engineers to shape the digital landscape of tomorrow.
Responsibilities
- Architect and design scalable neural network architectures tailored for next-gen deployment.
- Lead the research and development of cutting-edge AI models, focusing on generative AI and reinforcement learning.
- Optimize deep learning pipelines for high-speed inference and real-time decision-making.
- Define technical roadmaps and best practices for AI infrastructure within the organization.
- Collaborate with cross-functional teams to translate complex business requirements into robust technical solutions.
- Ensure the ethical use of AI, including bias mitigation and data governance compliance.
- Oversee the deployment of AI systems on cloud infrastructure (AWS/GCP/Azure).
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 10+ years of experience in software engineering with a strong focus on AI/ML.
- Deep proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
- Proven track record of deploying large-scale machine learning models into production environments.
- Expertise in distributed systems, microservices, and cloud-native architecture.
- Strong understanding of MLOps, CI/CD, and containerization technologies (Docker/Kubernetes).
- Excellent communication skills with the ability to articulate complex technical concepts to diverse stakeholders.