Job Description
At NexusMind AI, we are building the next generation of autonomous reasoning engines. We are looking for a visionary Senior AI Engineer to join our core research and development team. You will be responsible for scaling our generative models and optimizing neural architectures for high-throughput production environments.
This is a rare opportunity to influence the trajectory of AI development in a collaborative, high-impact environment where your code directly improves the efficiency and intelligence of global enterprise solutions.
Responsibilities
- Design, train, and deploy scalable Large Language Models (LLMs) and transformer-based architectures.
- Collaborate with cross-functional teams to integrate AI capabilities into existing enterprise product suites.
- Implement advanced data pipelines to support large-scale distributed training on GPU clusters.
- Optimize model inference latency and throughput for real-time production applications.
- Mentor junior machine learning engineers and promote best practices in MLOps and versioning.
- Conduct cutting-edge research to solve complex problems in natural language understanding and predictive modeling.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in deep learning, machine learning, and AI research.
- Expertise in Python and core frameworks such as PyTorch, TensorFlow, or JAX.
- Deep understanding of transformer architectures, attention mechanisms, and reinforcement learning.
- Proven track record of deploying models into high-availability cloud environments (AWS, GCP, or Azure).
- Strong proficiency in distributed computing and GPU resource optimization techniques.
- Excellent communication skills with the ability to translate complex research into actionable engineering tasks.