Job Description
We are seeking a visionary Senior Machine Learning Engineer to join our elite team at NeuralNexus AI. You will be at the forefront of developing next-generation Artificial Intelligence systems that redefine human-machine interaction. If you are passionate about pushing the boundaries of Deep Learning, NLP, and Generative AI, we want to hear from you.
Why Join Us?
- Work on cutting-edge LLMs and autonomous agents.
- Competitive equity and benefits package.
- Flexible remote/hybrid work culture.
Responsibilities
- Design, train, and deploy scalable machine learning models and neural networks.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers.
- Optimize models for production environments, ensuring high throughput and low latency.
- Research and implement state-of-the-art algorithms in Natural Language Processing (NLP) and Computer Vision.
- Conduct rigorous data analysis and model validation to improve accuracy and reliability.
Qualifications
- Master’s or PhD in Computer Science, Statistics, or a related quantitative field.
- 5+ years of professional experience in Machine Learning or Artificial Intelligence.
- Expert proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX).
- Strong understanding of distributed systems and cloud infrastructure (AWS, GCP, or Azure).
- Experience with Large Language Models (LLMs) and prompt engineering is highly preferred.