Job Description
We are on a mission to define the technological landscape of 2026. Nexus Future Systems is seeking a visionary Senior AI/ML Engineer to lead our next-generation autonomous systems division.
In this pivotal role, you will architect the infrastructure for cutting-edge generative AI and reinforcement learning models. We are not just building software; we are engineering the future of human-machine interaction.
Why join us? You will work with a world-class team of researchers and engineers, utilizing state-of-the-art compute resources to solve problems that have never been solved before.
Responsibilities
- Design and implement scalable architectures for Large Language Models (LLMs) and multimodal AI systems.
- Lead the research and deployment of reinforcement learning agents for autonomous decision-making.
- Optimize model inference performance to ensure low-latency, high-throughput delivery.
- Establish robust data pipelines and governance frameworks for AI training data.
- Mentor junior engineers and conduct technical reviews to ensure code quality and innovation.
- Collaborate with product stakeholders to translate futuristic concepts into actionable roadmaps.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- 7+ years of professional experience in machine learning engineering or applied research.
- Deep proficiency in Python, PyTorch, TensorFlow, and modern MLOps tools (MLflow, Kubeflow).
- Experience deploying AI models at scale in cloud environments (AWS, GCP, or Azure).
- Strong understanding of distributed systems, optimization techniques, and edge computing.
- Excellent communication skills and a passion for solving complex, ambiguous problems.