Job Description
We are looking for a visionary Senior AI/ML Engineer to lead our advanced technology initiatives. As we prepare for the technological landscape of 2026, Nexus Future Systems is building the next generation of generative AI, autonomous agents, and neural architectures. You will be instrumental in architecting scalable machine learning systems that push the boundaries of what is possible.
In this role, you will not just use existing tools; you will help define the standards for the future of AI development. You will work in a collaborative, high-performance environment focused on innovation, scalability, and real-world impact.
Responsibilities
- Architect and deploy state-of-the-art Large Language Models (LLMs) and transformer architectures.
- Design and optimize high-throughput, low-latency inference pipelines for production environments.
- Implement MLOps strategies for automated model training, retraining, and monitoring.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate research into production applications.
- Conduct rigorous research into emerging AI trends, including Reinforcement Learning from Human Feedback (RLHF) and Multi-modal AI.
- Ensure code quality, documentation, and scalability across all machine learning infrastructure.
Qualifications
- Master’s degree or PhD in Computer Science, Mathematics, or a related technical field.
- Minimum of 5+ years of professional experience in Machine Learning or Deep Learning engineering.
- Expert proficiency in Python, PyTorch, TensorFlow, and Scikit-learn.
- Deep understanding of Natural Language Processing (NLP), Vector Databases, and RAG (Retrieval-Augmented Generation) frameworks.
- Strong experience with cloud platforms (AWS/GCP) and containerization technologies (Docker, Kubernetes).
- Proven track record of shipping complex AI products to market.