Job Description
We are seeking a visionary Senior AI Engineer to join Nexus AI Systems, a leader in next-generation machine learning solutions. In this role, you will architect and deploy state-of-the-art artificial intelligence models that drive real-world impact. You will work at the intersection of deep learning, natural language processing, and scalable cloud infrastructure to solve complex problems for Fortune 500 clients.
If you are passionate about the future of technology and want to build the intelligence systems of tomorrow, we want to hear from you.
Why Join Us?
- Work with the latest Generative AI and LLM technologies.
- Competitive equity package and top-tier benefits.
- Flexible remote and hybrid work options.
Responsibilities
- Model Architecture: Design, train, and fine-tune advanced deep learning models, including Transformers and Neural Networks, to optimize performance for specific business use cases.
- Deployment & MLOps: Manage the end-to-end machine learning lifecycle, from experimentation to production deployment on cloud platforms (AWS/Azure/GCP).
- Code Optimization: Improve model inference speed and reduce latency while ensuring high accuracy and low resource consumption.
- Cross-Functional Collaboration: Partner with data scientists, software engineers, and product managers to define technical requirements and deliver innovative features.
- Ethical AI: Implement best practices for bias mitigation and data privacy to ensure responsible AI development.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, Statistics, or a related field (or equivalent practical experience).
- Programming: Expert proficiency in Python, including experience with libraries such as PyTorch, TensorFlow, or JAX.
- Experience: 5+ years of professional experience in machine learning engineering or a related data science role.
- Cloud Skills: Strong understanding of cloud-native ML services and containerization tools (Docker, Kubernetes).
- Communication: Exceptional ability to translate complex technical concepts into clear insights for non-technical stakeholders.