Job Description
Architecting the Future of Intelligence.
Nexus Future Systems is seeking a visionary Senior AI/ML Architect to lead the technological trajectory toward 2026 and beyond. We are building the infrastructure for the next generation of generative intelligence, and we need a technical leader who is passionate about pushing the boundaries of what is possible.
In this role, you will design and deploy scalable Machine Learning pipelines capable of handling the exponential data growth expected in the coming years. You will be at the forefront of implementing Large Language Models (LLMs) and Reinforcement Learning frameworks, ensuring our solutions are not only powerful but also ethical and robust.
Why You'll Love It Here:
- Impact: Define the core algorithms that will power enterprise solutions worldwide.
- Flexibility: Hybrid work model based in the heart of San Francisco.
- Growth: Continuous investment in your technical education and career progression.
Responsibilities
- System Architecture: Design end-to-end Machine Learning architectures optimized for high scalability, low latency, and cost-efficiency.
- Model Development: Spearhead the research and implementation of state-of-the-art Deep Learning models, including Transformers and diffusion models.
- MLOps: Build and maintain CI/CD pipelines for model training, evaluation, and deployment using Kubernetes and cloud-native technologies.
- Optimization: Continuously monitor and optimize model inference performance to handle real-time data streams.
- Ethical AI: Establish guidelines and frameworks for AI safety, bias mitigation, and data privacy compliance.
- Collaboration: Partner with cross-functional teams of data scientists, engineers, and product managers to translate complex requirements into technical solutions.
Qualifications
- Education: Master’s or PhD in Computer Science, Statistics, Mathematics, or a related technical field.
- Experience: 5+ years of professional experience in AI/ML engineering, research, or a similar technical capacity.
- Programming: Expert proficiency in Python, C++, and SQL.
- Frameworks: Deep experience with PyTorch, TensorFlow, or JAX.
- Specialization: Strong background in Natural Language Processing (NLP) or Computer Vision.
- Infrastructure: Proven track record of deploying models in production environments using Docker, AWS/GCP, and Kubernetes.