Job Description
Shape the future of machine intelligence
At NeuralPath Systems, we are building the next generation of autonomous reasoning engines. We are seeking a visionary AI Engineer to join our core research and development team. You will work at the intersection of deep learning, natural language processing, and scalable infrastructure to solve complex real-world problems.
You will be part of an elite team of researchers and engineers dedicated to ethical AI advancement. We value innovation, rigorous engineering, and a collaborative spirit.
Responsibilities
- Design, train, and deploy large-scale machine learning models using PyTorch or TensorFlow.
- Develop robust data pipelines to process massive, unstructured datasets.
- Optimize neural network architectures for inference latency and cost efficiency.
- Collaborate with cross-functional product teams to integrate AI capabilities into end-user applications.
- Stay abreast of industry research trends to drive internal R&D initiatives.
- Mentor junior engineers and champion best practices in ML engineering and model versioning.
- Contribute to the scaling of model training infrastructure across multi-cloud environments.
Qualifications
- Master's or PhD in Computer Science, AI, Machine Learning, or a related quantitative field.
- Minimum of 5 years of experience building and productionizing machine learning models.
- Expertise in Python and at least one deep learning framework (PyTorch, JAX, or TensorFlow).
- Strong understanding of distributed computing and cloud platforms (AWS, GCP, or Azure).
- Experience with LLM architecture, fine-tuning, and Retrieval-Augmented Generation (RAG).
- Proficiency in data structure algorithms and high-performance computing concepts.
- Excellent communication skills with the ability to translate complex technical concepts for stakeholders.