Job Description
Shape the Intelligence of Tomorrow. Nexus Future Labs is pioneering the next generation of artificial intelligence. We are seeking a visionary Senior AI/ML Architect to lead the architectural design and implementation of our large-scale generative models. This is a rare opportunity to define the technical roadmap for the 2026 era of AI.
In this high-impact role, you will bridge the gap between theoretical research and production-grade engineering. You will build robust, scalable, and secure machine learning systems that power our core products. If you thrive in a fast-paced, innovative environment and want to leave a lasting legacy in the tech industry, join our elite team.
Responsibilities
- Architect & Scale: Design and implement end-to-end machine learning pipelines and infrastructure capable of handling billions of requests.
- Model Optimization: Drive research and engineering efforts to optimize model inference speed, reduce latency, and minimize resource costs.
- Team Leadership: Mentor a team of data scientists and engineers, conducting code reviews and fostering a culture of technical excellence.
- Production Deployment: Oversee the deployment of LLMs and NLP models to cloud environments (AWS/GCP) ensuring high availability and fault tolerance.
- Collaboration: Partner with product managers and stakeholders to translate complex business needs into technical architectures.
- Innovation: Stay ahead of the curve in emerging AI trends (e.g., Multimodal AI, Agentic workflows) and integrate them into our stack.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 7+ years of professional experience in software engineering and machine learning.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, or JAX; experience with Kubernetes and Docker.
- Cloud Mastery: Strong background in distributed systems and cloud architecture (AWS, GCP, or Azure).
- Problem Solving: Demonstrated ability to solve complex problems at scale with a focus on efficiency and security.
- Communication: Excellent verbal and written communication skills with the ability to explain complex technical concepts to non-technical audiences.