Job Description
Are you ready to architect the artificial intelligence solutions of tomorrow? Nexus Horizon is seeking a visionary Senior AI Engineer to lead our cutting-edge research and development division. We are not just building software; we are defining the trajectory for AI advancement through 2026 and beyond.
In this pivotal role, you will bridge the gap between theoretical research and production-grade deployment. You will work alongside top-tier data scientists and engineers to solve complex problems that shape the future of human-machine interaction. If you are passionate about Generative AI, Large Language Models (LLMs), and scalable infrastructure, this is your opportunity to make a tangible impact on the industry.
Why join Nexus Horizon?
- Work on mission-critical projects that define the next decade of technology.
- Competitive compensation package and equity options.
- Access to state-of-the-art hardware and cloud resources.
- A culture that fosters innovation, autonomy, and continuous learning.
Responsibilities
- Architect and deploy scalable machine learning pipelines and deep learning models.
- Lead the research and implementation of the 2026 AI roadmap, focusing on LLM optimization and multi-modal AI.
- Collaborate with cross-functional teams to integrate AI capabilities into consumer and enterprise products.
- Mentor junior engineers and data scientists, fostering a culture of technical excellence.
- Optimize model performance for latency, throughput, and resource efficiency in production environments.
- Stay abreast of the latest academic research and industry trends to drive innovation within the team.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- Minimum of 5+ years of professional experience in AI/ML engineering.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Proven experience designing and fine-tuning Large Language Models (GPT, Llama, etc.).
- Deep understanding of MLOps, CI/CD, and cloud infrastructure (AWS, GCP, or Azure).
- Excellent problem-solving skills and ability to thrive in fast-paced, agile environments.