Job Description
We are Nexus Future Technologies, a pioneering AI research lab building the intelligence layer for the 2026 digital landscape. We are seeking a visionary Senior AI Engineer to lead our core model development initiatives. If you are passionate about the future of Artificial General Intelligence (AGI) and want to shape the technology of tomorrow, today is your day.
In this role, you will architect and deploy scalable machine learning systems that push the boundaries of what's possible. You will work closely with a world-class team of researchers and engineers to solve complex problems in natural language processing, computer vision, and predictive modeling.
Responsibilities
- Architect Scalable Systems: Design and implement robust, high-performance machine learning pipelines and infrastructure capable of handling petabytes of data.
- Model Development: Lead the research and development of state-of-the-art AI models, focusing on efficiency, accuracy, and ethical alignment.
- Optimization: Optimize existing models for speed and resource efficiency to ensure real-time deployment in production environments.
- Collaboration: Partner with cross-functional teams including product managers, data scientists, and frontend engineers to integrate AI solutions seamlessly.
- Mentorship: Mentor junior engineers and researchers, fostering a culture of continuous learning and technical excellence.
- Research: Stay ahead of the curve by exploring cutting-edge methodologies in the AI community and applying them to our projects.
Qualifications
- Education: Master’s or PhD degree in Computer Science, Mathematics, or a related technical field.
- Programming: Proficiency in Python, with deep experience in frameworks such as PyTorch, TensorFlow, or JAX.
- Experience: 5+ years of professional experience in machine learning engineering or applied research.
- Algorithms: Strong foundation in algorithms and data structures, with specific expertise in deep learning architectures.
- Tools: Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.