Job Description
Shape the Future of Intelligence
Nexus 2026 Systems is pioneering the next era of artificial intelligence. We are looking for a visionary Senior AI & Machine Learning Engineer to architect scalable solutions that will define the technological landscape of 2026 and beyond. If you are passionate about building robust neural networks and solving complex data problems, we want to hear from you.
Why Join Nexus 2026?
- Impactful Work: Your code will directly influence the core infrastructure of next-gen AI models.
- Competitive Package: Top-tier compensation and equity packages for top-tier talent.
- Modern Environment: Work with the latest tech stack in a collaborative, high-performance culture.
Role Overview
As a Senior AI Engineer, you will lead the design and implementation of machine learning pipelines, focusing on Large Language Models (LLMs) and predictive analytics. You will work closely with cross-functional teams to integrate AI capabilities into our flagship products.
Responsibilities
- Design, develop, and deploy scalable machine learning models and neural network architectures.
- Optimize existing models for speed, accuracy, and resource efficiency in production environments.
- Collaborate with data engineers to build robust data pipelines and ensure data quality.
- Research and implement cutting-edge advancements in Generative AI and NLP.
- Mentor junior engineers and contribute to the technical vision of the AI department.
- Monitor model performance and conduct A/B testing to validate improvements.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- 5+ years of professional experience in Machine Learning, Deep Learning, or AI.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of NLP, LLMs, and Transformer architectures.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Proven track record of deploying models to production at scale.