Job Description
We are looking for a visionary Senior AI Engineer to join NeuroSync Systems. As we pioneer the next generation of neural interfaces, you will be at the forefront of building scalable machine learning models that power our proprietary cognitive computing platform. If you are passionate about deep learning, large language models, and pushing the boundaries of what's possible in AI, we want to hear from you.
Why Join Us?
At NeuroSync, we don't just write code; we architect the future. You will have the opportunity to work with state-of-the-art hardware, collaborate with top-tier researchers, and directly impact millions of users through intelligent automation.
Key Responsibilities:
Responsibilities
- Design, develop, and deploy state-of-the-art deep learning models and neural networks.
- Optimize existing AI pipelines for latency, throughput, and scalability on cloud infrastructure (AWS/GCP).
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to define AI strategy.
- Conduct cutting-edge research to stay ahead of industry trends in Natural Language Processing (NLP) and Computer Vision.
- Implement MLOps best practices to ensure model reliability and continuous integration.
- mentor junior engineers and conduct code reviews to maintain high engineering standards.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with 5+ years of industry experience.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Deep experience with LLMs, fine-tuning techniques, and RAG (Retrieval-Augmented Generation).
- Proven track record of deploying machine learning models into production environments.
- Experience with cloud services (AWS, Google Cloud, or Azure) and containerization (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.