Job Description
Shape the Future of Intelligence in 2026.
Nebula AI Solutions is at the forefront of the generative AI revolution. As we gear up for our 2026 product launch, we are seeking a visionary Senior AI Engineer to lead our research and development team. You will be responsible for architecting the next generation of neural networks that will power our enterprise solutions globally.
If you are passionate about pushing the boundaries of what's possible with Large Language Models (LLMs) and Computer Vision, and you want to leave a lasting impact on the industry, we want to hear from you.
Responsibilities
- Architect & Deploy: Design, train, and deploy scalable machine learning models and neural networks.
- Research Leadership: Lead research initiatives focused on NLP, LLMs, and generative adversarial networks (GANs) for the 2026 roadmap.
- System Optimization: Optimize existing models for inference speed and memory efficiency in production environments.
- Cross-Functional Collaboration: Work closely with product managers and data scientists to translate business requirements into technical solutions.
- Code Review & Mentorship: Mentor junior engineers and conduct rigorous code reviews to maintain high engineering standards.
- Data Strategy: Collaborate with data engineering teams to ensure high-quality data pipelines for model training.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- Technical Stack: Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
- Experience: 5+ years of experience in AI/ML engineering with a focus on deep learning.
- Language Models: Strong experience with transformer architectures and LLM fine-tuning (e.g., GPT, LLaMA).
- Cloud Knowledge: Experience deploying models on AWS, GCP, or Azure using Docker and Kubernetes.
- Problem Solving: Proven track record of solving complex technical problems under tight deadlines.