Job Description
Are you ready to shape the future of machine intelligence? NexusMind AI is seeking a high-caliber Senior AI Engineer to join our elite research and development team. We are pushing the boundaries of Large Language Models (LLMs) and neural architecture optimization to deliver real-world solutions that scale.
You will work at the intersection of applied research and production engineering, turning cutting-edge concepts into robust, high-performance systems. If you thrive in high-autonomy environments and love solving complex mathematical challenges, we want to hear from you.
Responsibilities
- Design and train custom neural network architectures for production-grade applications.
- Optimize model inference pipelines for latency-sensitive environments.
- Collaborate with cross-functional teams to integrate generative AI models into core product features.
- Perform rigorous evaluation and benchmarking of model performance against industry standards.
- Mentor junior machine learning engineers and foster a culture of engineering excellence.
- Stay at the forefront of AI research by actively contributing to internal whitepapers and open-source projects.
- Develop scalable data infrastructure for massive-scale model training and fine-tuning.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in deep learning and machine learning frameworks.
- Expert-level proficiency in Python, PyTorch, and TensorFlow.
- Deep understanding of transformer architectures, attention mechanisms, and RLHF.
- Hands-on experience with cloud computing platforms like AWS, GCP, or Azure for AI workloads.
- Strong grasp of MLOps practices, including CI/CD for model deployment and monitoring.
- Ability to translate complex research concepts into actionable, clean, and maintainable code.