Job Description
Nexus AI Labs is at the forefront of the artificial intelligence revolution. We are building the intelligent systems that will define the landscape of 2026 and beyond. We are seeking a visionary Senior AI Engineer to join our elite R&D team. In this pivotal role, you will architect and deploy next-generation Large Language Models (LLMs) that push the boundaries of human-computer interaction. If you are passionate about solving complex problems and building scalable AI infrastructure, we invite you to shape the future of technology with us.
Responsibilities
- Architect and implement scalable machine learning pipelines for training and fine-tuning Large Language Models (LLMs).
- Optimize model inference latency and throughput for high-volume production environments.
- Conduct cutting-edge research on advanced NLP techniques, including RLHF (Reinforcement Learning from Human Feedback) and distillation.
- Collaborate closely with product engineering teams to integrate AI capabilities into consumer-facing applications.
- Mentor junior engineers and data scientists, establishing best practices for AI model development and deployment.
- Monitor model performance, drift, and security in real-time to ensure reliability.
- Stay abreast of the latest research in transformer architectures and deep learning to drive innovation within the team.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related quantitative field.
- 5+ years of professional experience in machine learning, deep learning, or natural language processing.
- Strong proficiency in Python, PyTorch, or TensorFlow, with a deep understanding of deep learning frameworks.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Proven track record of shipping high-impact AI products to market.
- Experience with MLOps tools (MLflow, Kubeflow, Seldon) and model serving infrastructure.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.