Job Description
Are you ready to architect the intelligence of tomorrow? Nebula Dynamics is seeking a visionary Senior AI Engineer to lead our revolutionary Project 2026, a next-generation generative AI platform designed to redefine human-machine interaction. In this pivotal role, you will be at the forefront of innovation, building scalable, secure, and ethically aligned AI systems that will shape the industry landscape for years to come.
We are not just building software; we are defining the future of technology. As part of our elite R&D team, you will have the autonomy to experiment, the resources to scale, and the impact to change the world. If you are passionate about Large Language Models (LLMs), computer vision, and agentic AI, we want to hear from you.
Responsibilities
- Design and implement cutting-edge machine learning architectures and algorithms tailored for high-volume, low-latency environments.
- Lead the end-to-end development lifecycle for AI models, from data ingestion and preprocessing to model training, fine-tuning, and deployment.
- Collaborate with cross-functional teams of data scientists, product managers, and engineers to translate complex business requirements into robust technical solutions.
- Optimize model inference speeds and resource utilization, ensuring our AI systems are efficient and cost-effective at scale.
- Stay abreast of the latest advancements in AI research and implement best practices for MLOps and model governance.
- Mentor junior engineers and contribute to the technical culture of excellence within the organization.
Qualifications
- Master’s degree in Computer Science, Statistics, Mathematics, or a related technical field (PhD preferred).
- Minimum of 5+ years of professional experience in Machine Learning, Deep Learning, or Artificial Intelligence.
- Strong proficiency in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
- Proven experience with Large Language Models (e.g., GPT, LLaMA) and fine-tuning techniques.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to thrive in a fast-paced, agile development environment.
- Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.