Job Description
Join the Future of Intelligence
Nexus Digital Systems is at the forefront of the AI revolution. We are seeking a visionary Senior AI Engineer to lead the development of next-generation Large Language Models (LLMs) and Generative AI solutions. If you are passionate about pushing the boundaries of machine learning and want to build systems that shape the future of human-computer interaction, we want to hear from you.
As a Senior AI Engineer at Nexus, you will work in a collaborative, high-performance environment alongside world-class researchers and engineers. You will be responsible for the full lifecycle of AI model development, from research and prototyping to production deployment at scale.
Responsibilities
- Model Development: Design, train, and fine-tune state-of-the-art LLMs (e.g., GPT, Llama, Claude) for specific enterprise applications.
- System Optimization: Architect and optimize inference pipelines to ensure high performance, low latency, and cost efficiency at scale.
- Research & Innovation: Stay abreast of the latest research in NLP and Deep Learning, implementing novel techniques to improve model accuracy and capabilities.
- Collaboration: Partner with product managers and engineers to translate complex AI concepts into scalable, user-friendly features.
- MLOps: Implement robust MLOps practices, including versioning, monitoring, and automated retraining pipelines.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent industry experience).
- Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or NLP.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Strong understanding of transformer architectures and attention mechanisms.
- Deployment: Experience deploying AI models to cloud environments (AWS, GCP, or Azure) using services like SageMaker, Kubernetes, or Docker.
- Communication: Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.