Job Description
We are looking for a visionary Senior AI Engineer to join Nexus Horizon AI and lead the next generation of our generative AI platform. In this pivotal role, you will architect scalable machine learning systems and fine-tune state-of-the-art Large Language Models (LLMs) to solve complex business challenges. You will work in a fast-paced environment where your code directly impacts millions of users worldwide.
At Nexus Horizon, we believe in the power of AI to transform industries. You will be at the intersection of research and production, bridging the gap between cutting-edge academic research and robust, deployable software engineering.
Responsibilities
- Model Development: Design, train, and fine-tune advanced generative AI models using transformer architectures and deep learning frameworks.
- System Architecture: Build scalable, high-performance inference pipelines that handle high concurrency and low latency.
- Optimization: Apply techniques such as quantization, pruning, and distillation to optimize model performance and reduce deployment costs.
- Collaboration: Partner with product managers, designers, and data scientists to define feature requirements and translate them into technical specifications.
- Mentorship: Lead code reviews and mentor junior engineers, fostering a culture of technical excellence and continuous learning.
- Research: Stay abreast of the latest advancements in AI research and evaluate their potential for integration into our product suite.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field, or equivalent practical experience.
- Experience: 5+ years of professional experience in AI/ML engineering, with a proven track record of deploying ML models in production.
- Technical Skills: Expert proficiency in Python, PyTorch, or TensorFlow. Strong understanding of NLP and deep learning principles.
- Cloud & DevOps: Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Problem Solving: Ability to troubleshoot complex system issues and optimize code for performance and scalability.