Job Description
Are you ready to define the technological landscape of 2026? NexaCore Systems is seeking a visionary Senior AI Architect to lead the next generation of machine learning infrastructure. We are building the backbone of the autonomous digital economy, and your expertise will shape the trajectory of our flagship products.
In this role, you won't just maintain legacy systems; you will architect the future. You will work at the intersection of deep learning, distributed systems, and scalable cloud infrastructure. If you are passionate about pushing the boundaries of what's possible and thrive in a fast-paced, high-stakes environment, we want to meet you.
Why Join Us?
We offer competitive compensation, equity packages, and a culture that prioritizes innovation and continuous learning. You will have the autonomy to experiment with cutting-edge technologies and the resources to turn your ideas into reality.
Responsibilities
- Design and deploy scalable AI models and neural networks that power enterprise-level applications.
- Lead the architectural vision for the 2026 roadmap, ensuring technical feasibility and scalability.
- Collaborate with cross-functional teams of data scientists and engineers to translate research into production-ready code.
- Optimize algorithms for performance, reducing latency and increasing throughput in real-time systems.
- Establish best practices for model deployment, monitoring, and continuous integration/continuous deployment (CI/CD).
- Drive technical decision-making and mentor junior developers to elevate the team's engineering standards.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.
- Minimum of 7 years of experience in software engineering and machine learning architecture.
- Expert proficiency in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
- Strong understanding of distributed computing systems (Kubernetes, AWS, Azure, or Google Cloud Platform).
- Proven track record of deploying large-scale machine learning models to production environments.
- Excellent problem-solving skills and ability to thrive in ambiguous, high-growth environments.