Job Description
Are you ready to architect the future of intelligence?
Neural Nexus Inc. is a pioneering force in the artificial intelligence landscape, dedicated to building the foundational models that will define the 2026 era of computing. We are looking for a visionary Senior AI/ML Engineer to lead our Generative AI division. You won't just be coding algorithms; you will be shaping the roadmap that will set industry standards for the next decade.
In this role, you will be at the forefront of Large Language Model (LLM) optimization and Autonomous Agent development, ensuring our products are scalable, ethical, and ready for the explosive growth anticipated by 2026.
Why join us?
- Impact: Work on core infrastructure that powers millions of interactions.
- Innovation: Access to cutting-edge compute resources and research papers before public release.
- Growth: Direct mentorship from industry veterans and equity opportunities.
Responsibilities
- Lead the design and implementation of proprietary Generative AI models tailored for enterprise-scale applications.
- Optimize inference pipelines to ensure low-latency performance in high-volume environments.
- Collaborate with product teams to define the 2026 AI roadmap, identifying emerging trends in multimodal AI and agentic workflows.
- Establish best practices for data governance, model bias mitigation, and ethical AI usage.
- Architect robust MLOps pipelines to facilitate continuous training and deployment.
- Conduct rigorous A/B testing and validation to improve model accuracy and reliability.
Qualifications
- Master’s degree in Computer Science, Mathematics, or a related technical field (PhD preferred).
- 5+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Proven track record of deploying production-ready models at scale.
- Strong understanding of Transformer architectures, RAG (Retrieval-Augmented Generation), and fine-tuning methodologies.
- Experience with cloud platforms (AWS/GCP/Azure) and containerization technologies (Docker/Kubernetes).