Job Description
At NexusMind AI Labs, we are pushing the boundaries of generative models and autonomous agentic systems. We are seeking a visionary Senior AI Engineer to help build the next generation of enterprise-grade neural architectures. If you are passionate about solving complex scaling problems and deploying impactful machine learning solutions, we want to hear from you.
We offer a high-autonomy environment, cutting-edge hardware resources, and a culture that prizes innovation and technical rigor above all else.
Responsibilities
- Architect, train, and fine-tune large-scale transformer models for production deployment.
- Design scalable data pipelines to process petabyte-scale training datasets.
- Collaborate with product teams to translate business requirements into robust AI features.
- Optimize inference performance for low-latency delivery across distributed cloud infrastructure.
- Mentor junior machine learning engineers and establish best practices for MLOps.
- Conduct cutting-edge research to improve model efficiency and safety.
- Contribute to internal AI research publications and open-source initiatives.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of experience in deep learning, with a focus on LLMs or Computer Vision.
- Expert-level proficiency in Python and deep learning frameworks like PyTorch or JAX.
- Solid understanding of distributed computing (Ray, Kubernetes, NCCL).
- Proven track record of deploying machine learning models into high-traffic production environments.
- Strong background in optimization, linear algebra, and statistical modeling.
- Excellent communication skills with the ability to explain complex technical concepts to cross-functional teams.