Job Description
Join NeuroSync Technologies at the forefront of AI innovation! We're seeking a visionary Senior AI/ML Engineer to architect next-generation neural networks and transform industries. In this pivotal role, you'll lead the development of cutting-edge machine learning systems that power autonomous decision-making processes across healthcare, finance, and climate tech sectors. Collaborate with elite researchers to push the boundaries of generative AI while building scalable solutions deployed on our quantum-inspired computing infrastructure.
Our award-winning team operates in a state-of-the-art facility with dedicated AI labs, flexible hybrid work options, and comprehensive professional development programs. Enjoy competitive equity packages, wellness stipends, and access to exclusive industry conferences. Help us shape 2026's technological landscape while advancing your career in one of the world's most dynamic tech ecosystems.
Responsibilities
- Design and implement production-grade ML pipelines using TensorFlow/PyTorch for real-time data processing
- Lead end-to-end development of generative AI models including transformers and diffusion networks
- Optimize AI systems for edge deployment using quantization and model compression techniques
- Collaborate with quantum computing teams to develop hybrid AI-algorithm solutions
- Establish MLOps frameworks for automated model training, monitoring, and versioning
- Mentor junior engineers and conduct peer reviews to maintain technical excellence
- Translate complex business requirements into scalable AI architectures with measurable ROI
Qualifications
- MS/PhD in Computer Science, AI, or related field with 5+ years industry experience
- Expert proficiency in Python with deep learning frameworks (TensorFlow, PyTorch)
- Proven track record deploying production ML systems at scale (10M+ daily inferences)
- Strong foundation in distributed computing (Kubernetes, Spark) and cloud platforms (AWS/GCP)
- Experience with quantum machine learning algorithms and hybrid computing paradigms
- Published research in top-tier AI conferences (NeurIPS, ICML) or equivalent industry impact
- Exceptional problem-solving skills with ability to innovate under technical constraints