Job Description
We are seeking a visionary Senior Generative AI Engineer to join Nexus AI Labs. As a leader in the field of artificial intelligence, we are building the next generation of intelligent systems that redefine human-computer interaction.
In this role, you will lead the architecture and development of state-of-the-art Large Language Models (LLMs), working directly with our research team to push the boundaries of what's possible in natural language processing. You will be instrumental in deploying models that are not only accurate but also scalable and efficient.
What You'll Do:
Our mission is to democratize advanced AI. You will contribute to a culture of innovation, ensuring our solutions are robust, ethical, and user-centric.
Responsibilities
- Design, train, and fine-tune large-scale generative models using PyTorch and TensorFlow.
- Optimize model inference latency and throughput for real-time applications.
- Collaborate with cross-functional teams to define product requirements and AI roadmaps.
- Implement robust evaluation pipelines to measure model performance, hallucination rates, and safety.
- Stay ahead of the curve by researching the latest advancements in transformer architectures and generative AI.
- Contribute to open-source projects and share technical knowledge with the broader engineering team.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field (or equivalent professional experience).
- 5+ years of experience in machine learning, deep learning, or natural language processing.
- Proficiency in Python and experience with major ML frameworks (PyTorch, TensorFlow, JAX).
- Strong understanding of transformer architectures, attention mechanisms, and tokenization strategies.
- Proven track record of deploying machine learning models into production environments using Kubernetes and cloud infrastructure.