Job Description
Are you ready to define the future of Artificial Intelligence? Nebula Future Systems is seeking a visionary Senior AI/ML Architect to lead our 2026 strategic roadmap. We are not just building for today; we are architecting the infrastructure for the year 2026 and beyond. This is a high-impact role where your technical expertise will shape the next generation of generative AI products.
In this pivotal position, you will bridge the gap between theoretical research and production-scale deployment. You will work closely with our CTO and product visionaries to define the technical pillars of our 2026 platform. If you are passionate about Large Language Models (LLMs), reinforcement learning, and scalable architecture, we want to hear from you.
Responsibilities
- Architect 2026 Roadmap: Lead the technical strategy for our Generative AI pipeline, defining the architectural milestones for the 2026 release cycle.
- Model Optimization: Design and implement high-performance inference systems for large-scale transformer models, ensuring low latency and high throughput.
- Leadership & Mentorship: Guide a team of junior data scientists and ML engineers, fostering a culture of innovation and technical excellence.
- Cross-Functional Collaboration: Partner with product managers and designers to translate complex AI capabilities into intuitive user experiences.
- Infrastructure Scalability: Manage the end-to-end ML lifecycle on cloud platforms (AWS/GCP), optimizing for cost and performance.
- Ethical AI Compliance: Ensure all deployed models adhere to strict ethical guidelines, bias mitigation protocols, and safety standards.
Qualifications
- Education: Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 5+ years of professional experience in AI/ML engineering with a focus on NLP or Computer Vision.
- Technical Stack: Deep proficiency in Python, PyTorch, TensorFlow, and modern C++ for high-performance computing.
- LLM Expertise: Proven experience working with state-of-the-art LLMs (e.g., GPT-4, Llama 3) and fine-tuning techniques.
- Cloud Mastery: Strong experience with cloud-native ML infrastructure, including Kubernetes and Docker.
- Leadership: Demonstrated ability to lead technical teams and drive projects from conception to deployment.
- Problem Solving: Exceptional analytical skills with a track record of solving complex, unstructured problems.