Job Description
We are seeking a visionary Senior AI & Machine Learning Engineer to join our elite team at Nexus Future Systems. As we prepare for the technological leap into 2026, we need a pioneer who can architect the next generation of generative intelligence and autonomous systems.
In this role, you will bridge the gap between theoretical AI research and scalable production deployment. You will work on cutting-edge models that will define the future of human-computer interaction. If you are obsessed with performance, ethics in AI, and building systems that scale, we want to hear from you.
Responsibilities
- Architect Advanced AI Solutions: Design and implement scalable machine learning pipelines for Generative AI and Large Language Models (LLMs).
- Optimize Inference: Push the boundaries of model efficiency to reduce latency and costs in real-time environments.
- Research & Development: Stay at the forefront of the industry, exploring novel architectures and training methodologies.
- Collaborate with Cross-Functional Teams: Partner with product managers, engineers, and designers to integrate AI capabilities into seamless user experiences.
- Ethical AI Compliance: Ensure all deployed models adhere to strict ethical guidelines and safety protocols.
Qualifications
- Education: MS or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- Technical Expertise: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks.
- Experience: 5+ years of experience in building and deploying production-grade machine learning systems.
- Knowledge: Strong understanding of NLP, computer vision, or reinforcement learning.
- Problem Solving: Ability to tackle complex, undefined problems with creative algorithmic solutions.