Job Description
Welcome to the forefront of technological evolution. Nexus Future Systems is seeking a visionary Senior AI/ML Engineer to lead the development of our next-generation generative models, specifically designed to dominate the AI market by 2026.
In this pivotal role, you won't just be maintaining legacy systems; you will be architecting the future. We are looking for a pioneer who understands the trajectory of Large Language Models (LLMs) and is ready to implement the breakthroughs predicted for the late 2020s.
Why join us?
- Work on projects that shape the ethical and technical future of AI.
- Competitive equity package reflecting our high-growth trajectory.
- Access to cutting-edge compute resources and proprietary datasets.
If you are passionate about the AI Leap of 2026 and want to build systems that think, adapt, and evolve, we want to hear from you.
Responsibilities
- Design Next-Gen Architectures: Lead the design and implementation of scalable, fault-tolerant machine learning pipelines capable of handling petabyte-scale data.
- Advanced Model Research: Investigate and prototype novel techniques for LLM optimization, including quantization, distillation, and reinforcement learning from human feedback (RLHF).
- System Integration: Integrate AI agents into our core product suite, ensuring seamless interaction between natural language interfaces and backend databases.
- Performance Optimization: Reduce inference latency and improve model accuracy to meet enterprise-grade standards required for 2026 deployment.
- Ethical AI Governance: Implement and monitor guardrails to ensure AI outputs adhere to safety and compliance standards.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field, with a focus on AI/ML.
- Experience: 5+ years of professional experience in machine learning engineering, with at least 2 years leading complex AI projects.
- Technical Stack: Deep proficiency in Python, PyTorch, TensorFlow, and experience with distributed training frameworks (Ray, Spark).
- Domain Knowledge: Strong understanding of NLP, Transformers, and Vector Databases (e.g., Pinecone, Milvus).
- Innovation Mindset: Proven track record of publishing research or implementing industry-first solutions.