Job Description
Shape the Future of Intelligence
At Nexus Future Systems, we are not just building software for today; we are architecting the 2026 Tech Stack. We are looking for a visionary Senior AI/ML Engineer to lead the development of autonomous agents, generative models, and next-generation neural networks. If you are passionate about pushing the boundaries of what's possible in artificial intelligence and want to define the landscape of 2026, we want to hear from you.
Why Join Us?
- Impact: Work on cutting-edge projects that will define the future of human-computer interaction.
- Autonomy: We offer a high degree of creative freedom and ownership over your technical decisions.
- Compensation: Competitive salary, equity packages, and comprehensive health benefits.
Responsibilities
- Design, train, and deploy advanced Machine Learning models and Generative AI systems tailored for the 2026 ecosystem.
- Architect scalable neural network architectures and optimize inference pipelines for real-time applications.
- Collaborate with product managers and engineers to translate complex AI concepts into user-centric features.
- Experiment with novel algorithms, including Reinforcement Learning and Autonomous Agent frameworks.
- Mentor junior data scientists and foster a culture of innovation and technical excellence.
- Stay ahead of the curve on the latest AI research papers and integrate breakthrough methodologies into our stack.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related technical field (or equivalent professional experience).
- 5+ years of professional experience in AI/ML, with a proven track record of deploying models into production.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Strong understanding of Large Language Models (LLMs), fine-tuning techniques, and RAG (Retrieval-Augmented Generation).
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Exceptional problem-solving skills and the ability to work in a fast-paced, agile environment.