Job Description
Join Nexus AI Systems as we pioneer the artificial intelligence infrastructure for the future. We are seeking a visionary Senior AI/ML Engineer to lead the development of next-generation generative models and autonomous systems. In this pivotal role, you will architect scalable machine learning solutions that define the technological landscape of 2026 and beyond.
Why Join Us?
At Nexus, we don't just predict the future; we build it. We offer a competitive compensation package, equity opportunities, and a collaborative environment that encourages radical innovation. If you are passionate about pushing the boundaries of Deep Learning and NLP, this is your opportunity to shape the industry.
What You'll Do
Your primary focus will be on designing, training, and deploying state-of-the-art neural networks. You will work closely with our research team to translate theoretical advancements into production-ready applications.
Responsibilities
- Architect and implement robust deep learning pipelines for large-scale data processing.
- Lead research initiatives in Large Language Models (LLMs) and Generative Adversarial Networks (GANs).
- Optimize model inference speeds and reduce latency for real-time applications.
- Collaborate with cross-functional teams to integrate AI models into consumer and enterprise products.
- Mentor junior engineers and data scientists, fostering a culture of technical excellence.
- Evaluate and select appropriate hardware accelerators (GPUs/TPUs) for training tasks.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- 5+ years of professional experience in machine learning and deep learning engineering.
- Proficiency in Python, PyTorch, and TensorFlow.
- Deep understanding of Transformer architectures and attention mechanisms.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Strong background in NLP, Computer Vision, or Reinforcement Learning.