Job Description
Are you ready to architect the intelligence of tomorrow? Nexus Future Systems is at the forefront of the next generation of Artificial Intelligence. We are looking for a visionary Senior AI/ML Engineer to lead our R&D initiatives, pushing the boundaries of Generative AI and Large Language Models (LLMs).
In this role, you won't just be maintaining systems; you will be building the foundational models that will define the industry landscape for years to come. You will work in a high-performance environment with top-tier researchers and engineers dedicated to solving the world's most complex computational challenges.
Why Join Us?
- Work with state-of-the-art hardware and cloud infrastructure.
- Competitive equity package and top-tier compensation.
- Flexible remote-first culture with a focus on innovation.
Responsibilities
- Model Architecture: Design, train, and deploy state-of-the-art machine learning models and deep neural networks using PyTorch and TensorFlow.
- Optimization: Optimize model inference and training pipelines to reduce latency and increase throughput for real-time applications.
- Research: Stay ahead of the curve by implementing cutting-edge research in Natural Language Processing (NLP) and Computer Vision.
- Collaboration: Partner with product managers and engineering teams to translate research into scalable, production-ready features.
- Mentorship: Guide junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
- Deployment: Manage the full ML lifecycle from data ingestion to model serving using Kubernetes and cloud-native services.
Qualifications
- Education: MS or PhD in Computer Science, Statistics, Mathematics, or a related field (4+ years of experience considered equivalent).
- Experience: Proven track record of building and deploying ML models at scale in a production environment.
- Programming: Expert-level proficiency in Python and C++.
- Frameworks: Deep understanding of PyTorch, TensorFlow, or JAX.
- Libraries: Experience with Hugging Face, Scikit-learn, and Pandas.
- Cloud: Hands-on experience with AWS (SageMaker, EC2) or GCP (Vertex AI).
- Soft Skills: Excellent problem-solving abilities and strong communication skills.